Alternatives to Scale Data Engine

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality. Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset. Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

All large language models require high-quality training data, whether you create the data yourself or use existing models. A human-in the-loop labeling system provides real-time feedback to fine-tune datasets and build the most performant AI models. We offer precise data labeling and faster human input in order to improve the robustness of LLMs to better adapt to enterprise applications. Our labeler management allows for us to segment teams. You only pay for the experience and skill sets required by your data labelling projects. Sapien is able to scale up or down labeling operations for large and small annotation projects. Human intelligence at scale. We can customize our labeling models to meet your specific data formats, data types, and annotation requirements.

Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. Better data, better AI. SUPA is trusted by AI teams to solve their human data needs.

Human-powered data processing for AI and Automation. Our managed teams have helped hundreds of clients with use cases that range from simple and complex. Our proven processes provide high quality data quickly and can scale to meet your changing needs. Our flexible platform can be integrated with any commercial or proprietary tool so that you can use the right tool for your job. Flexible pricing and contract terms allow you to quickly get started and scale up or down as required without any lock-in. Clients have relied on our IT-Infrastructure to deliver high quality work remotely for nearly a decade. We were able to maintain operations during COVID-19 lockdowns. This allowed us to keep our clients running and added geographic and vendor diversity in their workforces.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

Labellerr is an advanced data annotation platform that streamlines the creation of high-quality labeled datasets for AI and machine learning applications. It supports a variety of data formats, including images, videos, text, PDFs, and audio, making it adaptable for different industries. The platform leverages AI-powered automation, such as model-assisted labeling and active learning, to significantly speed up the annotation process while maintaining accuracy. Labellerr also integrates smart quality assurance tools and detailed analytics to enhance data reliability and reduce human error. For specialized projects, it offers expert-in-the-loop services, providing access to professionals in domains like healthcare, automotive, and finance. The platform is designed for scalability, allowing teams to efficiently manage large datasets while ensuring high annotation quality. With its combination of automation, expert oversight, and user-friendly interface, Labellerr helps businesses accelerate AI model development with precise, well-labeled data.

Curate the most valuable unlabeled datasets to maximize domain coverage and improve models. Register your metadata with Dioptra and your data will stay with you. A data-centric toolkit can help you identify the root cause of model failures and regressions. Active learning miners allow you to sample the most valuable unlabeled datasets. Use Dioptra APIs to integrate your labeling and training stack. Curate data at scale and systematically for your use case. Open source data curation and management for computer vision (including NLP), LLMs, and NLP. We helped our customers improve the accuracy of their models on hard cases, reduce their training cycles, as well as reduce labeling costs.

Experience unmatched functionality with a cutting-edge AI data platform. It works smarter and delivers quality data to launch successful AI projects. ShaipCloud uses patented technology to collect and track workloads, transcribe and monitor audio and utterances and annotate texts, images and videos, as well manage quality control and data transfer. Your AI project will receive the highest-quality data. ShaipCloud not only provides you with high-quality data quickly and at a low cost, but also grows along with your AI project as it grows. This is due to its scalability and integrations of the platform that are required to make your work easier and deliver successful outcomes. The platform reduces friction in working with a global workforce and offers greater visibility and real-time control. There are data platforms. There are AI data platforms. The ShaipCloud Human-in-the Loop platform is a secure platform that allows users to collect, transform, and annotate their data.

Amazon SageMaker provides tools for recognizing various types of raw data, including images, text documents, and videos, allowing users to apply useful labels and produce labeled synthetic data, which is essential for developing high-quality training datasets for machine learning (ML) applications. It features two primary solutions: Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, each offering the capability to either utilize an expert workforce for managing data labeling processes or to handle your own labeling workflows. For those who wish to maintain control over their data labeling projects, SageMaker Ground Truth serves as an accessible service that simplifies the labeling process and permits the use of human annotators from platforms like Amazon Mechanical Turk, as well as third-party services or your own team members. Furthermore, this versatility enhances the overall efficiency and accuracy of the data preparation phase, which is crucial for the success of machine learning endeavors.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Superb AI offers a new generation of machine learning data platform to AI team members so they can create better AI in a shorter time. The Superb AI Suite, an enterprise SaaS platform, was created to aid ML engineers, product teams and data annotators in creating efficient training data workflows that save time and money. Superb AI can help ML teams save more than 50% on managing training data. Our customers have averaged a 80% reduction in the time it takes for models to be trained. Fully managed workforce, powerful labeling and training data quality control tools, pre-trained models predictions, advanced auto-labeling and filtering your datasets, data source and integration, robust developer tools, ML work flow integrations and many other benefits. Superb AI makes it easier to manage your training data. Superb AI provides enterprise-level features to every layer of an ML organization.

Annotation solutions that are end to end, scalable and offer high accuracy & speed of turnaround. 2D/3D bounding box, polygons and polylines, landmarks & semantic segmentation to serve use cases from LiDAR to Geo-spatial imagery. Zuru's teams are working on complex computer vision algorithms that have edge cases and taxonomies. Text annotations are available in all major languages, including Bahasa, Cantonese and Hungarian. Experts in linguistic labelling who have annotated over 10 million data points across industries from Retail to BFSI and Healthcare. Zuru's team has done it all, whether it was sophisticated labelling for automation in customer centres, basic transcription or Audio diarization. Multilingual translators & interpreters workforce with a wide range of accents & dialects to help AI teams understand cultural nuances across languages and geographies.

Weights & Biases allows for experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualise ML experiments. Add a few lines of code to your script and you'll be able to see live updates to your dashboard each time you train a different version of your model. Our hyperparameter search tool is scalable to a massive scale, allowing you to optimize models. Sweeps plug into your existing infrastructure and are lightweight. Save all the details of your machine learning pipeline, including data preparation, data versions, training and evaluation. It's easier than ever to share project updates. Add experiment logging to your script in a matter of minutes. Our lightweight integration is compatible with any Python script. W&B Weave helps developers build and iterate their AI applications with confidence.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

Nexdata's AI Data Annotation Platform provides a robust solution to meet diverse data annotating needs. It supports a variety of types, including 3D point cloud integration, pixel-level segmentation and speech recognition. It also supports entity relationship, video segmentation, and speech synthesis. The platform has a pre-recognition algorithm that allows for semi-automatic labeling and human-machine interactions, increasing labeling efficiency by 30%. It incorporates multilevel quality inspection management features and supports flexible workflows for task distribution, including package and item-based assignment. Data security is prioritized by multi-role and multi-level authority, template watermarking. Log auditing, login validation, and API authorization. The platform provides flexible deployment options including public cloud deployment to enable rapid, independent system setup and exclusive computing resources.

Our cloud-driven annotation platform enables you to initiate projects, annotate content, track progress, and download the results of your annotations. You have the flexibility to allocate tasks to either our dedicated annotation team or our worldwide crowd of contributors. Additionally, this versatility allows for efficient project management tailored to your specific needs.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

With Automaton AI's ADVIT, users can effortlessly create, manage, and enhance high-quality training data alongside DNN models, all within a single platform. The tool automatically optimizes data and prepares it for various stages of the computer vision pipeline. It also automates data labeling and simplifies in-house data pipelines. Users can handle both structured and unstructured datasets, including video, image, and text, while performing automatic functions that refine data for each phase of the deep learning process. Once data is accurately labeled and undergoes quality assurance, users can initiate their own model training. DNN training requires hyperparameter adjustments, such as batch size and learning rate, to maximize efficiency. Additionally, the platform supports optimization and transfer learning on existing models to enhance overall accuracy. After training, users can seamlessly deploy their models into production. ADVIT also provides model versioning capabilities, allowing for real-time tracking of development and accuracy metrics. By utilizing a pre-trained DNN model for auto-labeling, users can further improve their model's accuracy, ensuring optimal outcomes throughout the entire machine learning lifecycle. This comprehensive solution not only streamlines the development process but also empowers users to achieve remarkable results in their projects.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

AutoTrain is a new way to automatically evaluate, deploy and train state-of-the art Machine Learning models. AutoTrain, seamlessly integrated into the Hugging Face ecosystem, is an automated way to develop and deploy state of-the-art Machine Learning model. Your account is protected from all data, including your training data. All data transfers are encrypted. Today's options include text classification, text scoring and entity recognition. Files in CSV, TSV, or JSON can be hosted anywhere. After training is completed, we delete all training data. Hugging Face also has an AI-generated content detection tool.

Surge is building the modern human data infrastructure to power the next wave of AI – like building powerful large language models with RLHF and training rich content moderation systems. Our team hails from Google, Meta, Stanford, Harvard, and MIT.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

We license AI software across the L2-L4 autonomous stack, including perception, intent modeling and path planning. Perception and intent prediction with the highest accuracy, leading to safer autonomous systems. Unsupervised learning allows for learning from large datasets. Our technologies are capital-efficient by several orders of magnitude, enabling a much lower cost of developing. Helm.ai's full scene vision-based segmentation combined with Ouster's Lidar SLAM output. Helm.ai L2+ autonomous driving across highways 280, 92, 101 and lane-keeping with ACC lane changes. Helm.ai pedestrian segmentation with key-point predictions. Pedestrian segmentation with keypoint detection. Corner cases for rain lane detection and Lidar-vision Fusion. Full scene semantic segmentation. Botts dots and faded lane markings.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Quick Terrain Modeler is a 3D point cloud software and terrain visualization tool developed by Applied Imagery for efficient LiDAR data exploitation. It has a user-friendly GUI that allows users to work on large 3D datasets and perform rapid analyses. Users can also export a variety products with minimal training. The software can convert data from different coordinate systems and multiple data sources including LiDAR and photogrammetry. The software's key features include the visualization of large amounts of 3D data, in point cloud or model surface formats, interactive inspection tools and 3D editing capabilities. It also includes automatic point cloud classification. Quick Terrain Modeler works with Windows operating systems. It offers a free version to test its capabilities.

FugroViewer, a powerful and easy-to-use software designed to help users get the most out of their geospatial information. It is designed to work with a variety of raster and vector geospatial data, including photogrammetric, IFSAR, and lidar data. FugroViewer version 3.5 is now available for download. FugroViewer can now read files up to six-times larger. It also has improved graphics handling, which reduces the rendering time and increases efficiency. FugroViewer supports latest open file formats for lidar data delivery and storage. Display elevation and terrain model data in standard ortho, 3D perspective, and cross-section/profile views. If GPS time and RGB values are available, display them. Color TINs based on elevation using earth tones or intensity values. Overlay imagery, vectors and terrain datasets on your 3D elevation datasets. Search for lidar point clouds based on classification, flight line or return number.

A variety of sensors including LiDAR, cameras, and radar gather environmental information around the vehicle. By employing sensor fusion technology, perception algorithms can accurately identify, locate, assess the speed, and determine the orientation of objects on the roadway in real-time. This autonomous perception system is supported by Baidu's extensive big data and deep learning capabilities, along with a substantial repository of labeled driving data from real-world scenarios. Additionally, the expansive deep-learning platform and GPU clusters facilitate simulation, enabling the virtual traversal of millions of kilometers daily using diverse real-world traffic and autonomous driving datasets. Through this simulation service, partners are provided with numerous autonomous driving scenarios, allowing for swift testing, validation, and optimization of models in a manner that prioritizes safety and efficiency. Ultimately, this innovative approach not only enhances the reliability of autonomous systems but also significantly accelerates their development processes.

Scaniverse allows you to capture, edit, share, and share 3D content right from your smartphone. It creates 3D models using LiDAR with stunning detail and high fidelity. Simply point and scan. Scaniverse will do the rest. Our reconstruction algorithms convert raw LiDAR data to textured 3D models. Our intuitive editing controls will make your models shine. Rotate and crop your scans. It's like editing a photograph. You can adjust exposure, contrast, sharpness, and sharpness. Send scans to family and friends to view in AR, or post to Sketchfab so the whole world can see them. Export to 3D formats like OBJ or FBX to ensure compatibility with 3D modeling software and games engines. AR View lets you bring the world to your home. Scaniverse models can be viewed in their original size or reduced to fit your needs.

Ideal for 3D site design, stockpile volumes calculations, mine surveying. Quantity takeoffs, pad design, pond design, geological map, surface contouring and visualization, as well as landfill site design. This includes functions for surveying, coordinate geometry and image manipulation, digital terrain modeling and contouring, volume, earthwork calculations, design and grading, visualization, and report generation. You can create surface models using large UAV and LiDAR datasets. You have complete control over the point data thinning process. You can thin to polygons and corridors, coordinates areas, or exterior regions. Import and management a variety survey and file formats, such as total station, LiDAR and ASCII, DWG and DGN, USGS DEMs, LandXMl, and image formats (TIFF and BMP, JPG). The total station data can be imported with automatic control over linear features, breaklines, and symbology. Live Maps allows you to import georeferenced background imagery.

Aquarium's innovative embedding technology identifies significant issues in your model's performance and connects you with the appropriate data to address them. Experience the benefits of neural network embeddings while eliminating the burdens of infrastructure management and debugging embedding models. Effortlessly uncover the most pressing patterns of model failures within your datasets. Gain insights into the long tail of edge cases, enabling you to prioritize which problems to tackle first. Navigate through extensive unlabeled datasets to discover scenarios that fall outside the norm. Utilize few-shot learning technology to initiate new classes with just a few examples. The larger your dataset, the greater the value we can provide. Aquarium is designed to effectively scale with datasets that contain hundreds of millions of data points. Additionally, we offer dedicated solutions engineering resources, regular customer success meetings, and user training to ensure that our clients maximize their benefits. For organizations concerned about privacy, we also provide an anonymous mode that allows the use of Aquarium without risking exposure of sensitive information, ensuring that security remains a top priority. Ultimately, with Aquarium, you can enhance your model's capabilities while maintaining the integrity of your data.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

We offer the highest quality SLA (>95%) even for the most complicated workflows. Our team can assist with everything from the implementation of a solid quality rubric to raising edge case. We are an ethical AI company that has provided economic opportunities to over 52,000 people in underserved and marginalized areas. ML Assisted annotation allowed for efficiency improvements of up to 3-4x per class annotation. We are able to quickly adapt to ramp-ups and focus shifts. Secure work environments are ensured by ISO-certified delivery centers, biometric authentication, 2FA user authentication, and ISO-certified delivery centers. You can quickly re-prioritize tasks, give quality feedback, and monitor production models. All data types are supported. You can do more with less. We combine machine learning with humans to filter data and select images that are relevant to your use cases. Based on your initial guidelines, you will receive sample results. We will work with you to identify and recommend best annotation practices.

Terrasolid develops software to process airborne and mobile LiDAR images and data. Terrasolid's applications are versatile and capable for surveyors and civil engineers, designers and planners. They also provide tools for anyone who needs to process 3D LiDAR images and data. Discover the world's most advanced point cloud processing platform. Interactively visualize, analyze, and extract your data. So long limits! TerraScan can be used to process raw laser points, images and trajectories as well as survey data. TerraStereo allows you to visualize up to 50 billion point at high speed. Terrasolid offers both full and light versions for point clouds that are exclusively used by UAVs. These can be combined into packages that are tailored to your specific workflow needs.