Alternatives to RAIC

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.

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.

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

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.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

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

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.

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.

You can classify customer interactions, extract information from text or images and identify and count objects in photos or video. You can even transcribe audio. Follow these simple steps to train your own model or one of our pre-trained AI models. Connect any app to your AI models via an API-ready service or our add-ons Excel and Google Sheets. Predict and train from text, audio, image/video and audio. Native support for English, Spanish, Portuguese, and Portuguese. You can add intention recognition to your conversations, detect emotions, or have your bot reply from a question answering system built with Cogniflow. Support tickets can be automatically classified via email. You can respond faster and more effectively to customer problems. To check compliance, identify the tone and highlight key points of the conversation, you can record your client calls.

Satim offers a unique AI-based solution for object detection and classification using Synthetic Aperture Radar satellite imagery. Satim has developed a highly accurate simulation for generating synthetic signatures. The simulator allows us simulate a signature for any object or SAR system. The simulator allows us to add new object types and train our AI model to classify with 90% accuracy in days. Our proprietary SAR data simulation allows us to quickly expand the models to detect and classify different objects. This ensures adaptability and flexibility to meet the challenges and changing needs of the military, government and commercial sectors. We work with the top Synthetic Aperture Radar sensor providers in the world, bringing together cutting-edge technology and unmatched expertise. Our global network of partners is focused on advancing the space industry and defense.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

UBIAI's powerful labeling platform makes it easy to quickly train and deploy your NLP model. To train a high-performance model, it is important to preserve the layout of semi-structured text like invoices and contracts. UBIAI's OCR function combines natural language processing with computer vision. It allows you to perform NER and relation extraction on native PDF documents. You can also scan images or photos from your phone and perform classification annotation. This will significantly improve your NLP model performance. UBIAI's text annotation tool allows you to perform named entity recognition (NER), document classification, and relation extraction all from one interface. UBIAI allows you to create multiple relations in nested or overlapping entities, unlike other tools.

Expand the platform to include annotation for segmentation. The Zastra repository will include algorithms that support segmentation to enable active learning of datasets. End-to-end ML opsversion control for datasets / experimental and templated pipelines to enable deployment of the model to standard cloud-based environments as well as the Edge. Bayesian deep learning advances are integrated into the active learning framework. Bayesian CNN is a specialized architecture that improves the quality of annotations. This breakthrough solution was created by our experts who have spent many hours working with you. We are still adding new features to the platform but we couldn't wait for you to take it for a spin! Active-Learning based object detection, classification, segmentation, localization, as well as object detection are some of Zastra's key capabilities. This is possible for images, text, audio, and point cloud data.

A tool for offline annotation of images. Object detection and segmentation. Draw polygons, cubic Bezier curves, lines segments, and points. Draw bounding boxes oriented in aerial images. Draw keypoints using a skeleton. Draw pixels using brushes and superpixels. Read/write in PASCAL VOC xml or YOLO text format. Export to CreateML object classification and image classification formats. Export to COCO Labelme YOLO DOTA CSV formats. Export grayscale and color mask images. Fast settings for objects, attributes and labeling. Label dialog can be customized to combine with attributes. One-click buttons make it easier to select the object name. Auto-suggest is available for more than 5000 different object names. Search object, attribute and image names using a gallery view. Automatic labeling with Core ML models. Automatic text recognition using OCR. Video to image frames, enhance images, etc. Support English, Chinese and Korean.

Keymakr’s advanced video annotation tools, along with our professional in-house team of annotation experts, ensure the best possible results for your computer vision data needs. Annotating video while tracking objects across multiple frames. Each object in the video can be tracked and recognized even if it is captured by different cameras or video segments. We use a variety of media to create precise and human-annotated datasets. Our expertise in video annotation and labeling allows us to create custom machine-learning data sets that meet your project's needs. Improve the accuracy of existing models. We check and correct all algorithmic outputs including bounding boxes, polygon annotating, instance segmentation and semantic segmentation. Computer vision development is a complex process that requires quality training data.

Our clients use visual AI to solve real-world business challenges. Our skilled team of data scientists and machine-learning engineers will quickly train and deliver machine learning models that are highly accurate and precise for visual data. IceCream Labs, the leader in enterprise AI solutions, is a great choice. IceCream Labs offers solutions for retail, digital media, and higher education. The company's expertise lies in the development of machine learning and deep-learning models to solve real business problems using text and image data. IceCream Labs is a good choice if you have visual data such as images, videos and documents. We can help you identify what is in an image or document. IceCream Labs can help you quickly train and deploy machine learning models. Get sales performance improvements across all product lines by talking to our AI experts.

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.

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.

Advanced visual AI in Fashion will transform your product images into beautifully categorized data. This will help you improve your catalog management efficiency, analyzes, and product discovery. Pixyle's visual AI in fashion solutions are precise, powerful, and seamlessly integrate with any tech stack. Our AI technology can scan and analyze all product images in a matter of seconds. We have incorporated the most advanced visual AI technology into essential tools for fashion retailers in order to succeed in the digital fashion online market. Deep learning technology and AI have been able to recognize product features in fashion images, and create rich tags. Attribute tags are automatically generated. These tags will provide deep, specific insights into your products and help improve product discovery in your online eCommerce store. Get more insight into trends with our detailed fashion attributes and make better business decisions.

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.

This tool is the perfect tool to automatically moderate content. Filter unwanted content from photos, videos, and live streams. The API instantly returns moderation results and scales automatically to meet your needs. You can easily increase your Moderation Pipeline to millions of images per month. The API was designed by developers for developers. To get the API up and running, you only need to write a few lines. Use our SDKs to get detailed documentation. Built on state-of the-art models and proprietary technology. Moderation decisions are consistent and easily auditable. Feedback loops and continuous improvement are also included. Your images are kept private and are not shared with third parties. The 'offensive endpoint detects and recognizes different types of items that are inappropriate for the general public.

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.

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.

Veryfi OCR API extracts and categorizes details from unstructured consumer invoices and purchase receipts down to line items (SKU level purchase data) at large scale, without the need for traditional limitations such as templates or humans in-the-loop. Veryfi technology can be used straight out of the box. This means that there is no need for training, no human involvement, and no need to use templates. To provide instant value, all documents are processed in real time using Veryfis pre-trained machine model to process them. Veryfi's mission to liberate humanity from manual back-office work is his.

Build and deploy deep-learning models for custom use scenarios. Our automated machine-learning process allows customers create powerful AI solutions based on our best-in class models and tailored to their specific challenges. Digital platforms can quickly create custom models that fit their guidelines and requirements. Build large language models to support specialized use cases, such as bots for customer and technical service. Create image classification models for better understanding image libraries, including search, organization and more.

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.

Imagga's API allows you to create the next generation image recognition applications. Our machine learning technology allows you to create intelligent apps. Automatically assign tags for your images. A powerful API for image analysis and discovery. Your application can enable product discovery. A powerful API to build visual search capabilities. Your applications can now unlock facial recognition. A powerful API for building facial recognition. Our image A.I. can be trained To organize your photos in your own categories. Automatically categorize all your image content. A powerful API for instant image classification. Automated moderation of adult image content based on state-of-the-art image recognition technology. Beautiful thumbnails automatically generated. Powerful API for content-aware clipping. Let colors add meaning to your product photos. A powerful API for color extraction.

We would like to introduce ourself to your esteemed company, ROORA, which specializes in AI training data annotation services for India. We ROORA, a professional outsourcing company, offers a wide range services in outsourcing. We provide high-quality image annotation services to Machine Learning and AI-based other applications that work with Image data sets. Our services: 1. Object detection and localization 2. Full Semantic Segmentation 3. Metadata Attribution and Classification 4. Annotation for Road and Lane Marking 5. Annotation Point and Dot 6. Video Annotation 7. Annotation for Medical Use 8. 3D Lidar Labelling 9. Bounding Box Annotation

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

ImgLab, an open-source software tool, simplifies the task of annotating pictures for machine learning and artificial intelligent applications. It has an intuitive interface which allows users to mark up images using metadata such as bounding box, points, lines or polygons in order to identify specific features and objects within the image. ImgLab supports a number of annotation formats, including COCO and Pascal VOC. This allows it to be compatible with a wide range of machine learning platforms and models. It is designed to work with large images sets, making it ideal for complex machine-learning tasks.

Anolytics offers data annotation services for image, video and text for machine learning and AI based computer vision. Anolytics provides low-cost annotation services for machine learning and the development of artificial intelligence models. It provides the annotated data in text, images, and videos using various annotation techniques. It also ensures the quality and accuracy. It is highly skilled in Image Annotation, Video Annotation, and Text Annotation. Anolytics provides all the leading data annotation services used for data training in machine learning or deep learning. It provides Bounding boxes, Semantic Segmentation and 3D Point Cloud Annotation as well as 3D Cuboid Annotation. These services are useful in fields such as healthcare, autonomous driving, drone falying, security surveillance, agriculture, and retail. Anolytics offers a scalable solution that is available quickly and at a cost-effective price for clients around the world.

CamFind makes it easy to understand the world around us. CamFind uses mobile visual searching technology to identify any object. Simply take a photo of it. You can find images, goods, local search results, related content, and much more. CamFind makes it easy for you to save the results to your CamFind profile and share them with your family and friends. You can safely store images offline in your Scoops directory to search for them later or to create Visual Reminders. Save an image you like to save along with search results. Make private collections of your favorite finds.

The integrated object- and image processing solution. LTU offers an integrated SaaS solution that is configurable and open to visual recognition. This web service offers a range of object and image processing capabilities, including matching, color palette search, and metadata search (coming soon). LTU provides a computer vision solution that works without Deep Learning. This is possible thanks to the creation a unique signature based on the visual characteristics of the object or image.

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.

Harness data science in order to enhance traditional knowledge and provide better health outcomes without bias for native communities. We're on mission to bridge data science, research, and medicine. We want to create a data science platform that is all-in-one for the medical and research industries. We want to revolutionize these fields with machine learning, generative AI and data science. Our platform allows you to manage, analyze, and classify your photo & videos. Automatically label images, extract insights and generate synthetic data using your work. Coming soon: features for bias detection and community collaboration. We want to create something for the social good. We aim to close the gap in accessibility of technology and ensure that the models we use are free of algorithmic biases, which are commonplace within technology.

Image recognition technology that gives you a complete understanding of your digital media. Our on-device computer vision system can provide a response time of less that 250ms. This is 4x faster than our API and doesn't require an internet connection. By simply scanning their phones around a room, users can identify objects in that space. This feature is exclusive to our on-device platform. Privacy concerns are almost eliminated by removing the requirement for data to be sent from the end-user device. Our API takes every precaution to protect your privacy. However, our on-device model raises security standards significantly. CloudSight will send you visual content. Our API will then generate a natural language description. Filter and categorize images. You can also monitor for inappropriate content and assign labels to all your digital media.

Virus API allows you to scan files and identify security problems with content. A Virus Scanning and Reverse Proxy Server protects your web application and web APIs from viruses uploaded automatically. Protect any object or file in Google Cloud Platform (GCP), Cloud Storage automatically from viruses and malware. Protect any SharePoint Document Libraries and Sites from malware and viruses automatically, without code changes, in real-time. Our advanced Deep Learning OCR APIs allow you to convert scanned documents and photos into rich text. Automatically unrotates and unskews the images when necessary. The validation APIs allow you to validate data. Verify that an E-mail address you receive is legitimate. Verify that the domain is legitimate. You can check the IP address and where it is located. The validation API provides all this information and more.

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.

piXserve™, an enterprise class application, automatically creates a searchable index for visual content in media files. piXserve scans digital images, videos, and stores searchable descriptions. It also assigns keywords to items it recognizes. piXserve can recognize faces, scenes, objects, and text strings in a variety languages. PiXserve can be used to search your archived media or your live video sources. PiXserve can help you identify, flag, and track content. PiXserve can help you find relationships between content of different types and sources. Integrate piXserve functionality in your analytical pipeline to improve your understanding of events and situations and your ability to make actionable forecasts. The foundation for a wide range of uses is provided by a comprehensive set of capabilities and features.

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.

EV Lib is an embedded vision software library that uses deep learning and AI. It includes functionalities for people and vehicles, object detection, identification tracking, 3D pose estimation, and vehicle and object tracking.

Abacus.AI is the first global end-to-end autonomous AI platform. It enables real-time deep-learning at scale for common enterprise use cases. Our innovative neural architecture search methods allow you to create custom deep learning models and then deploy them on our end-to-end DLOps platform. Our AI engine will increase user engagement by at least 30% through personalized recommendations. Our recommendations are tailored to each user's preferences, which leads to more interaction and conversions. Don't waste your time dealing with data issues. We will automatically set up your data pipelines and retrain the models. To generate recommendations, we use generative modeling. This means that even if you have very little information about a user/item, you won't have a cold start.

Deep learning algorithms offer the best accuracy and speed on the market. No development costs required to implement cutting-edge vision automation. Intuitive web interface allows you to create powerful and custom image recognition programs. We constantly improve the underlying machine-learning algorithms to keep you up-to date. Create a custom neural network that recognizes your images. Ximilar acquired Vize to make it faster, more efficient, and add business-critical features. Visit the Ximilar Homepage for more information.

Visual ChatGPT connects ChatGPT with a series Visual Foundation Models, allowing for sending and receiving images while chatting. ChatGPT (or LLMs), on the one hand, is a general interface that gives a broad understanding of a wide variety of topics. Foundation Models, on the other hand are domain experts and have deep knowledge in specific domains. We aim to build an AI capable of handling multiple tasks by leveraging both deep and general knowledge.

Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling

Alibaba Cloud Image Search is an intelligent search service that allows users to find similar images. The product is based on machine learning and deeplearning and allows end-users upload a photo or a screenshot to search for desired products and fulfill other requests.

Digimizer is an intuitive and flexible image analysis software program that allows precise manual measurements, as well as automatic object detection using measurements of object characteristics. Images can be X-rays or micrographs. The supported file formats include JPG, GIF and TIFF. Images can be rotated or flipped. You can adjust the brightness and contrast of images. There are many filters that can be used.

TinEye's image recognition, computer vision and reverse image search products are the engine behind TinEye applications that make images searchable. We have created some of the most efficient and accurate image recognition APIs in the world. Image recognition is used for content moderation and fraud detection. Fast and accurate label matching is possible for the beverage industry. Track where and how images appear online. Verify images, locate where an image appears online, and comply with copyright. Image recognition allows you to connect the physical world with the digital. The best color search tool anywhere.

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.

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.