Best Image Annotation Tools in Brazil

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.

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.

clickworker is globally the largest open crowd sourcing provider. The company has a huge number of services using a "one to many" approach where your company can use many Clickworkers to achieve the outcome you desire. Most frequently, clickworker provides customized data collection, categorization, evaluation, tagging and annotation services to create AI/ML training data for Data Scientists, and also provides SEO texts, product tags, categories and surveys for online businesses and retailers. clickworker serves most industries and applications using the skills of their 4.0M+ Clickworkers. This crowd gathers data through a wide range of micro-tasks, utilizing a sophisticated crowd-sourcing platform and fully featured mobile app.

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.

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

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.

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

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.

Keylabs.ai is an image and video annotation platform built by annotation experts to deliver high-performance data annotation and management features and unique operations management. Its tools have a proven track record of handling large datasets efficiently and accurately. Trusted by global technology leaders, Keylabs.ai combines innovative technology with user-focused design to deliver solutions to projects of any type and size.

Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

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

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.

Our company is the premier provider of data labeling services in AI. We cover industries like Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance. With over 500+ annotation gurus and multilingual support, we provide efficient and accurate services for both enterprise and R&D projects. Our range of services includes Computer Vision and NLP annotation, data processing, and more. Choose Label Your Data for unparalleled quality of your training datasets. Our top priority is to ensure the security and quality of client's data. To ensure the confidentiality of client data, our facilities and teams have been certified by ISO 27001 and PCI DSS (level 1). We adhere to the most important industry security standards, such as GDPR and CCPA.

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.

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.

Dokit manual software allows you to create, share, and track visual instructions, user guides, and best practices that are appropriate for any screen or device. Dokit includes features such as Cataloging/Categorization, collaboration, Page templates, Visual editor, Drag & Drop, Media Gallery, Image annotation, Multilingual, Document importation, Approval workflow, Notifications, Forum and Comments. Dokit can also be used as a competitor software option by Swipeguide and Speachme.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

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.

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.

CVAT, the leading data engine for machine-learning, allows you to annotate better. Teams at all scales use and trust CVAT for data of all sizes. CVAT's intuitive, lightning-fast user interface was developed in collaboration with real-world teams that are solving real-world issues. CVAT is used by the most ambitious AI teams in the world every day, from medical to retail to autonomous cars. CVAT can handle any input data and expected results. It works well with images, videos and even 3D. Bounding boxes and polygons. Points, skeletons. Cuboids. Trajectories. Automated interactive algorithms such as intelligent scissors, histogram equality, and others will help you annotate more efficiently. Get actionable insights from metrics such as the annotator's working hours, the number of objects per hour and more.

Makesense.ai allows you to label photos online for free. It is easy to use, as it only requires a browser. We also don't care what operating system you are using, we try to be cross-platform. It is ideal for small computer vision projects that require deep learning. The process of preparing datasets becomes much easier and quicker. The labels are available in a variety of formats. The application was developed in TypeScript, and is based on React/Redux.

Support for various types of annotations, both on images and videos. Open-source, scalable web annotation tool. Support for simple "click and dragging" actions, and options to add more attributes. Features include the ability to copy boundaries and fit boundaries using Bezier curves. Mark the area where the driver is driving. Annotate lane markings for vision-based vehicle location and trajectory planning. Four-click method that is intuitive and accurate to encapsulate the objects of interest. Predict annotations using object tracking algorithm and interpolation algorithm to bounding boxes. Annotation prediction for object instances. Tracking features for 2D objects are now available in 3D.

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.

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.