Alternatives to SKY ENGINE

Overcome challenges when acquiring data to train AI and machine learning systems. Rendered.ai, a PaaS, is designed for data scientists and engineers. Create synthetic datasets to train and validate ML/AI. Experiment with scene content, sensor models, and post-processing. Catalogue and characterize real and synthetic datasets. Download or move data into your own cloud repositories to be processed and trained. Synthetic data can be used to boost innovation and productivity. Create custom pipelines for modeling diverse sensors and computer-vision inputs. Python sample code is available for free and can be customized to model SAR, RGB Satellite imagery, and other sensor types. Flexible licensing allows for almost unlimited content creation. Create labeled, high-performance computing content quickly in a hosted environment. No-code configuration allows data scientists and engineers to collaborate.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

A self-service platform for synthetic data, with a focus on object and human data. The Datagen Platform gives you granular control over the data generation process. Analyzing your neural networks can help you understand what data is required to improve them. You can then easily generate the data that you need to train your network. Datagen is a powerful platform that can help you solve your problems. It allows you to generate high-quality, high-variety, domain-specific, simulated artificial data. Advanced capabilities include the ability to simulate dynamic people and objects within their context. Datagen gives CV teams unprecedented flexibility to control visual outcomes in a variety of 3D environments.

Multiple sensors, including radar, cameras, LiDAR, and cameras, collect environmental data around the vehicle. Sensor fusion technology perception algorithms can detect in real-time the type, location and velocity of objects on the road using sensor fusion technology. This autonomous perception system is supported by both Baidu's deep learning and big data technologies. It also has access to a large collection of real-world labeled driving data. The large-scale deep-learning platform, GPU clusters. Simulating allows you to drive millions of kilometers every day using a variety of real-world traffic and autonomous driving data. Partner can access a large number autonomous driving scenes through the simulation service to quickly test, validate and optimize models in a safe and efficient manner.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

A flexible and accurate platform for the generation of synthetic data. Create the data you require for your perception system within minutes. Design scenarios with infinite variations for your use case. Create your datasets on the cloud. Anyverse is a scalable software platform that allows you to train, validate or fine-tune a perception system. It offers unparalleled computing power to generate all of the data you require in a fraction the time and cost as compared to other real-world workflows. Anyverse is a modular platform which enables efficient scene creation and dataset production. Anyverse™, Studio is a standalone application with a graphical interface that manages All Anyverse functions including scenario definition, variability setting, asset behavior, dataset settings and inspection. Data is stored on the cloud and the Anyverse cloud is responsible for scene generation, simulation and rendering.

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.

OneView creates next-generation virtual synthetic datasets for ML algorithm training. We provide ready-to-use datasets for all objects in any environment, with a focus on satellite and aerial imagery. VSD is computer-generated, real-like imagery. It can be used to replace real imagery. It is a cost-effective, scalable, and highly accurate training material for ML algorithm. OneView bridges the gap between increasing availability of earth observation data, and the limited ability to use it for intelligence gathering. We provide the tools to improve data analysis and enable geospatial imagery to yield new and valuable insights. It doesn't matter if you have long-tail or rare objects, or if you don't have enough data. We can generate a dataset for every object. We can generate any environment. High-detailed, customized environment for model training.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

You will find a modular, open-source virtual driving simulator that allows you to test against a variety objectives and performance requirements. Ansys VRXPERIENCE Driving Simulator powered by SCANeR™ allows you to create scenarios, test software, and consider vehicle dynamics. It allows you to create a virtual driving environment for testing performance and analyzing the results. VRXPERIENCE Driving Simulator allows for an immersive, simulated test-drive experience in a realistic setting. You can conduct thorough safety assessments and drive millions of virtual kilometers in days. This will accelerate development by 1,000x when compared to road-testing. As passenger cars become more digitalized and autonomous, they will require advanced technologies such as sensors like cameras, radars and lidars as well as embedded software that supports automated control systems.

Amazon EC2 instances P4d deliver high performance in cloud computing for machine learning applications and high-performance computing. They offer 400 Gbps networking and are powered by NVIDIA Tensor Core GPUs. P4d instances offer up to 60% less cost for training ML models. They also provide 2.5x better performance compared to the previous generation P3 and P3dn instance. P4d instances are deployed in Amazon EC2 UltraClusters which combine high-performance computing with networking and storage. Users can scale from a few NVIDIA GPUs to thousands, depending on their project requirements. Researchers, data scientists and developers can use P4d instances to build ML models to be used in a variety of applications, including natural language processing, object classification and detection, recommendation engines, and HPC applications.

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

ENVI is the industry standard in image processing and analysis. Image analysts, GIS professionals, and scientists use ENVI to extract accurate, timely and reliable information from geospatial imagery. It is scientifically supported, simple to use, and tightly integrated with Esri’s ArcGIS platform. ENVI has been at the forefront of innovation for more three decades thanks to its support for all types of data, including multispectral and hyperspectral, thermal as well as LiDAR, LiDAR, and SAR. ENVI makes deep learning easy to access through intuitive tools and workflows, which don't require programming. ENVI can be customized using an API or visual programming environment to meet project requirements. ENVI uses scientifically-proven analytics to deliver expert level results. ENVI is a popular choice for businesses and organizations because it integrates seamlessly with existing workflows, supports the most current sensors, and can be easily customized to meet specific project requirements.

NVIDIA DRIVE®, Map is a multi-modal map platform that enables the highest level of autonomy and safety. It combines ground truth mapping accuracy with fleet-sourced AI mapping to provide freshness and scale. Four layers of localization--camera lidar radar, radar, and GPS--DRIVEMap provides the flexibility and redundancy required by the most advanced AI drivers. DRIVE Map is engineered to achieve the highest accuracy. The ground truth map engine creates dynamic DRIVE Maps by using rich sensors such as radars, cameras, lidars and differential GNSS/IMU. It can achieve accuracy of 5 cm in select environments such as highways or urban environments. DRIVE Map is designed to operate in near real-time and provide global scalability. It is based on both fleet-sourced and ground truth data. It represents the collective memory for millions of vehicles.

Geospatial imaging professionals must process large amounts of geospatial information every day. They often rely on software that was designed for other purposes or add-on applications that create nearly as many problems than they solve. ERDAS IMAGINE allows you to save time and money, make better image analysis decisions, and leverage your data investments. ERDAS IMAGINE is a true value product that combines remote sensing, photogrammetry and LiDAR analysis with basic vector analysis and radar processing. ERDAS IMAGINE makes it easy to image classify and segment, orthorectification and mosaicking, reprojection and elevation extraction, as well as image interpretation. You can focus on your analysis by using powerful algorithms and data processing functions. ERDAS IMAGINE provides K-Means and ISODATA, as well as object-based image segmentation and Machine Learning.

eCognition Designer is a powerful development environment that allows object-based image analysis. It is used in earth sciences for developing rule sets (or applications to eCognition Architect), for automatic analysis of remote sensing data. eCognition developer can be used for all common remote sensing tasks, such as feature extraction, change detection, vegetation mapping, and object recognition. The object-based approach allows for analysis of all data sources including satellite data, aerial photography, lidar radar, hyperspectral data, and satellite data. eCognition Developer provides a wide range of algorithms that can be used to analyze different aspects of image analysis. You can choose from many segmentation algorithms, such as quadtree, multiresolution, or chessboard.

The Synthetic Data vault (SDV) was designed as a Python library that allows you to create tabular synthetic data. The SDV uses machine learning algorithms to emulate patterns in synthetic data. The SDV offers a variety of models, from classical statistical methods to deep learning methods. Create data for single tables or multiple connected tables. Compare the synthetic data with the real data using a variety measures. Diagnose problems and create a quality report for more insights. Control data processing to enhance the quality of synthetic information, choose different types of anonymization and define business rules as logical constraints. Use synthetic data to replace real data or as an enhancement. The SDV is a comprehensive ecosystem of synthetic data models, metrics, and benchmarks.

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.

Cupix is the preferred partner for providing the industry's most flexible, yet easiest-to-deploy 3D twin platform to builders and business owners. Our mobile app allows you to capture your jobsite in 3D and control a 360 camera. You can then collaborate by sharing information about the built-world's lifecycle. All this through one platform. The industry's most advanced 3D Digital Twin Platform is built on data from any source, at any time, and from any location. Any type of point cloud data can be imported into our unified 3D Digital Twin Platform, including terrestrial and handheld LiDAR scanners as well as drone photogrammetry, robots and custom-built reality capture system. Keep your team productive. Cupix 3D Digital Twins allows you to virtually inspect, analyze, and measure any project from the comfort of your own home. Avoid costly errors and fix them before they happen.

Your deep learning workload can be accelerated. AI model training and inference can speed up your time to value. Deep learning is becoming more popular as enterprises adopt it to gain and scale insight through speech recognition and natural language processing. Deep learning can read text, images and video at scale and generate patterns for recommendation engines. It can also model financial risk and detect anomalies. Due to the sheer number of layers and volumes of data required to train neural networks, it has been necessary to use high computational power. Businesses are finding it difficult to demonstrate results from deep learning experiments that were implemented in silos.

Synthetic data is the key to a leading-edge technology that allows for flawless retail execution. Vision technology for consumer packaged products. Choose from a catalog of over 100,000 SKUs on the Neurolabs platform, including top brands like P&G, Nestle Unilever, Coca-Cola and more. Our API will automatically stitch together multiple shelf images uploaded by your field agents from their mobile devices. SKU-level detection gives you detailed information that can be used to calculate retail execution KPIs, such as out-of shelf rate, shelf share percentage and competitor price comparison. Discover how our cutting edge image recognition technology can maximize store operations, improve customer experience, and boost profits. Implement a real deployment in less than a week. Access image recognition datasets covering over 100,000 SKUs.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

Our AI-powered platform for data generation allows data analysts and machine-learning engineers to maximize their analytical data sets. Datomize allows users to create the exact analytical data they need by leveraging behavior extracted from existing data. With data that accurately reflects real-world scenarios and allows users to make better decisions, they can now get a more accurate picture of reality. Take advantage of your data to develop AI solutions that are state-of-the art. Datomize's AI powered, generative models create superior synthesized replicas by extracting behavior from your existing datasets. Advanced augmentation tools allow for unlimited resizing, while dynamic validation tools show the similarity of original and replicated data. Datomize's machine learning approach is data-centric and addresses the primary constraints of training high-performing ML model.

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.

Set your enterprise data free. Hazy can re-engineer enterprise data to make it easier, safer, and faster to use. Every enterprise can actually use its data. Data has never been more valuable. However, with increasing privacy requirements and tightening regulations, the majority of the world's data remains locked away and inaccessible. Hazy has developed a new approach that allows data to be used. So you can make better decisions and develop new technologies, and provide more value to your customers. Realistic test data can be created and deployed to quickly validate new technologies and systems. This will help accelerate your digital transformation. You must generate enough high-quality, safe data to train, improve, and build your AI applications. To improve decision-making, empower teams to share and generate accurate intelligence and analytics on products, customers, operations, and other factors.

Data is a valuable business asset. With the right AI model it is possible to use data in order to build and understand customers profiles, identify trends, and identify potential new business opportunities. It takes a lot of data to build accurate and robust AIs, which is a challenge from both a quality and quantity perspective. Stringent regulations, including GDPR, also restrict the use and sharing of sensitive data like customer data. It's time to change the way we do things. It's time for a new approach, especially in a software test environment where it is difficult to access good quality testing data. We often see actual customer data used, which can lead to GDPR non-compliance with heavy financial penalties. Artificial Intelligence is expected to increase productivity in businesses by at least 40%, but businesses struggle to deploy AI solutions or fully unlock them due to data-related issues. ADA generates artificial data using advanced deep-learning.

NVIDIA DeepLearning GPU Training System (DIGITS), puts deep learning in the hands of data scientists and engineers. DIGITS is a fast and accurate way to train deep neural networks (DNNs), for image classification, segmentation, and object detection tasks. DIGITS makes it easy to manage data, train neural networks on multi-GPU platforms, monitor performance with advanced visualizations and select the best model from the results browser for deployment. DIGITS is interactive, so data scientists can concentrate on designing and training networks and not programming and debugging. TensorFlow allows you to interactively train models and TensorBoard lets you visualize the model architecture. Integrate custom plugs to import special data formats, such as DICOM, used in medical imaging.

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

We conduct cutting-edge research in artificial intelligence and implement it to give financial investors an advantage. Transforming the financial market through groundbreaking neuro-prediction. Our algorithms combine graph-based learning and deep reinforcement learning algorithms to model and predict time series. Neuri aims to generate synthetic data that mimics the global financial markets and test it with complex simulations. Quantum optimization is the future of supercomputing. Our simulations will be able to exceed the limits of classical supercomputing. Financial markets are dynamic and change over time. We develop AI algorithms that learn and adapt continuously to discover the connections between different financial assets, classes, and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

Polycam is the best 3D capture app for iPhone and iPad. You can quickly create high-quality 3D models using photos from any iPhone or iPad. You can edit your 3D captures right on the device and export them in more than a dozen file formats. Polycam Web allows you to share your captures with friends, and also allows you to explore captures from all over the world on Poly World. Photogrammetry allows you to take photos and turn them into 3D models. This is a great tool for scanning intricate objects and scenes. It generates 3D assets that can be used in any computer graphics program. It works on any iPhone and iPad. Unlimited scans can be created on your device. No internet required. The Ruler tool allows you to take unlimited measurements at inch-level accuracy. Automatically calculate the dimensions of spaces in LiDAR captures. Upgrade to Polycam Pro to generate accurate scale blueprints.

Segmind simplifies access to large compute. It can be used to run high-performance workloads like Deep learning training and other complex processing jobs. Segmind allows you to create zero-setup environments in minutes and lets you share the access with other members of your team. Segmind's MLOps platform is also able to manage deep learning projects from start to finish with integrated data storage, experiment tracking, and data storage.

With automated data quality profiling, and synthetic data generation, adopting data-centric AI is easier than ever. We help data scientists unlock the full potential of data. YData Fabric enables users to easily manage and understand data assets, synthetic data, for fast data access and pipelines, for iterative, scalable and iterative flows. Better data and more reliable models delivered on a large scale. Automated data profiling to simplify and speed up exploratory data analysis. Upload and connect your datasets using an easy-to-configure interface. Synthetic data can be generated that mimics real data's statistical properties and behavior. By replacing real data with synthetic data, you can enhance your datasets and improve your models' efficiency. Pipelines can be used to refine and improve processes, consume data, clean it up, transform your data and improve its quality.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

Create high-fidelity 3D environments and diverse synthetic data quickly and easily to improve model performance. Bifrost is the fastest and easiest way to create high-quality synthetic images to improve ML performance. By avoiding time-consuming and expensive real-world data collection, you can prototype and test up 30x faster. Generating data to account rare scenarios that are underrepresented in the real data will result in more balanced datasets. Manual annotation and labeling can be resource-intensive and prone to errors. Quickly and easily generate data that are pre-labeled, pixel-perfect. Real-world data can inherit biases from the conditions under which it was collected and generate data that solves for these instances.

VisionPro Deep Learning is the best deep learning-based image analysis program for factory automation. Its field-tested algorithms have been optimized for machine vision. The graphical user interface makes it easy to train neural networks without sacrificing performance. VisionPro Deep Learning solves complex problems that are too difficult for traditional machine vision. It also provides consistency and speed that can't be achieved with human inspection. Automation engineers can quickly choose the right tool for the job by combining VisionPro's rule-based visual libraries. VisionPro Deep Learning is a combination of a comprehensive machine vision tool collection with advanced deep learning tools within a common development-deployment framework. It makes it easy to develop highly variable vision applications.

LidarView, an open-source platform by Kitware, is designed for the real-time recording, visualization, and processing 3D LiDAR data. It is built on ParaView and renders large point cloud data efficiently. It also offers features like 3D visualization of timestamp-stamped LiDAR return, a spreadsheet inspector to inspect attributes such as azimuth and timestamp, and the capability to display multiple dataframes simultaneously. Users can input data directly from live sensor streams, recorded.pcaps or manage subsets in laser data. LidarView supports a variety of sensors, including models by Velodyne Hesai Robosense Livox and Leishen. It allows for the visualization of live streams as well as replaying recorded data. The platform integrates advanced algorithms to facilitate accurate environmental reconstruction and sensor location. It also incorporates AI capabilities and machine learning for scene classification.

Sixpack is an automated data management platform that streamlines synthetic data for testing. Sixpack, unlike traditional test data generation methods, provides an unlimited supply of synthetic data to help testers and automated testing avoid conflicts and resource bottlenecks. It focuses on flexibility, enabling data allocation, pooling and instant generation, while maintaining data quality and privacy. The key features are the ease of setup, seamless integration with APIs, and the support for complex test environments. Sixpack integrates directly into QA processes so that teams can save time managing data dependencies and minimize data overlap. Its dashboard provides a clear view into active data sets. Testers can also allocate or pool data based on project needs.

The Aurora Driver, which is based on industry-leading hardware, software and firmware, can adapt to a variety vehicle types and use cases. This allows us to deliver the benefits and self-driving technology across many industries, including long-haul trucking and local goods delivery. The Aurora Driver is composed of sensors that see the world, software that plans safe routes through it, and a computer that powers and integrates them all with the vehicle. The Aurora Driver can operate any type of vehicle, from sedans to trucks up to Class 8. The Aurora Computer, which connects our hardware to autonomy software, allows the Aurora Driver seamless integration with all vehicle types. Our custom-designed sensor suite, which includes FirstLight Lidar and long-range imaging radars, creates a 3D representation that gives the Aurora Driver a 360@ view around what's going on around it.

Our AI-driven, low-code automation platform is designed for you to achieve the best quality result in the shortest time possible. Our Natural Language Processing (NLP-powered solution) allows you to generate automation scripts in plain English and allows your coders focus on innovation. Our autonomous discovery and current tracking of changes ensures that your application is high quality throughout its lifecycle. Our autonomous healing capability reduces risk in dynamic development environments and delivers flawless updates by keeping automation up-to-date. All regulatory requirements are met and security risks eliminated by using AI-generated synthetic data to automate your business processes. Multiple tests can be run simultaneously, you can determine the test frequency, keep up with browser updates, and execute across platforms and operating systems.

Tonic automatically creates mock datasets that preserve key characteristics of secure data sets so that data scientists, developers, and salespeople can work efficiently without revealing their identities. Tonic creates safe, de-identified data from your production data. Tonic models your production data from your production data to help tell a similar story in your testing environments. Safe and useful data that is scaled to match your real-world data. Safely share data across businesses, teams, and borders to create data that is identical to your production data. PII/PHI identification and obfuscation. Protect your sensitive data by proactive protection with automatic scanning, alerts and de-identification. Advanced subsetting across diverse database types. Fully automated collaboration, compliance, and data workflows.

Amazon SageMaker lets you identify raw data, such as images, text files and videos. You can also add descriptive labels to generate synthetic data and create high-quality training data sets to support your machine learning (ML). SageMaker has two options: Amazon SageMaker Ground Truth Plus or Amazon SageMaker Ground Truth. These options allow you to either use an expert workforce or create and manage your data labeling workflows. data labeling. SageMaker GroundTruth allows you to manage and create your data labeling workflows. SageMaker Ground Truth, a data labeling tool, makes data labeling simple. It also allows you to use human annotators via Amazon Mechanical Turk or third-party providers.

Describe your data model at an abstract level using XML. It is not necessary to have developer skills. Use a variety of function libraries to create realistic data. Write your own extensions using Javascript or Java. Integrate your data processing into Gitlab CI, Jenkins or Jenkins. Benerator's model driven data toolkit allows you to generate, anonymize and migrate data. Define processes for anonymizing or pseudonymizing data in plain XML without needing developer skills. Protect your customers' privacy and stay GDPR compliant. Mask and obfuscate data sensitive for BI, testing, development or training. Subsetting allows you to combine data from different sources while maintaining data integrity. Transform and migrate your data in multisystem landscapes. Reuse your test data models for migration to production environments. In a microsystems architecture, keep your data consistent and reliable.

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.

High quality, photorealistic 3D is now available for everyone. Luma is an innovative way to create lifelike 3D with artificial intelligence using your iPhone. You can easily capture products, landscapes, and scenes from wherever you are. You can create stunning product videos, impossible camera moves on TikTok, or simply relive the moment with your captured images. You don't need a Lidar or fancy capture equipment, just an iPhone 11 or higher. You can now: Capture 3D scenes with intricate details and reflections and lighting to share with everyone. You can bring people to where you are! Capture products in 3D, and display them on your website exactly as they appear in real-life. No more fake 3D. Blender, Unity, or any other 3D engine of your choice can capture 3D game assets in unparalleled quality and bring them into Blender, Unity, or any other 3D engine.

LiDAR and photogrammetry software for 3D point clouds. 3D point clouds are a vital part of mapping, whether they're collected by airborne or terrestrial LIDAR. LP360 is an advanced desktop LIDAR package that makes it easy to extract information and generate deliverables within an intuitive GIS environment. Process, analyze, maximize drone survey data to produce valuable information and deliverables. Geospatial workflows for LiDAR and Imagery Data with visualization, QA/QC tools, Classification and 3D editing capabilities. LP360 Cloud offers a growing collection of cloud-based resources and tools that make it easier to manage, archive and collaborate on geospatial project. We are always working to improve LP360 Cloud.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

DeepSpeed is a deep learning optimization library that is open source for PyTorch. It is designed to reduce memory and computing power, and to train large distributed model with better parallelism using existing computer hardware. DeepSpeed is optimized to provide high throughput and low latency training. DeepSpeed can train DL-models with more than 100 billion parameters using the current generation GPU clusters. It can also train as many as 13 billion parameters on a single GPU. DeepSpeed, developed by Microsoft, aims to provide distributed training for large models. It's built using PyTorch which is a data parallelism specialist.

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.

Public video data collection is becoming more risky due to the increasing capabilities of facial recognition technology. Brighter AI's Precision Blur allows for the most precise face redaction in the world. Deep Natural Anonymization, a privacy solution that uses generative AI, is unique. It creates synthetic facial overlays to protect individuals against recognition while maintaining data quality for machine-learning. You can use the Selective Redaction user interface to anonymize specific information in videos. Some use cases, such as media or law enforcement, do not require all faces to be blurred. After the automatic detections, it is possible to (de)select individual objects. Our Analytics Endpoint provides relevant metadata such as the original objects' bounding box locations, facial landmarks, and person attributes. You can retrieve relevant information using JSON outputs, while also having compliant, anonymized photos or videos.