CVAT vs Encord
Level up your AI data curation & labeling
Join the teams leaving CVAT behind to switch to Encord’s end-to-end data curation and annotation platform. Efficiently create high quality model training data to improve AI model performance at scale without compromising speed or security.
Powering the world's leading AI teams
Supporting your computer vision data labeling needs
Efficiently label any computer vision modality across image, video, DICOM, or geospatial data and choose from a variety of tools to accommodate multiple annotation types, formats and use cases.
Object tracking
Multi-view annotation
Related objects
Rotatable bounding boxes
Semantic segmentation
Polygons, polylines and object primitives
Panoptic segmentation
Optical character recognition
LIGHTNING FAST
Get labeled high-quality training data 10x faster
Label multimodal data – image, video, audio, document, text and DICOM files – all on one platform.
Seamless collaboration and task management
Create fully customized computer vision data labeling pipelines to improve the efficiency and quality control of your annotation workforce. Manage and monitor annotation task progress with user-friendly dashboards.
Master complexity with ontologies
Create multiple nested classifications with advanced data labeling ontologies to establish a more accurate Ground Truth.
Frame synchronization with object tracking
Achieve consistent image labeling and video annotations through object detection and tracking to ensure continuity from frame to frame amidst movement, directional changes and shifts in background.
Native AI-assisted labeling with SAM 2
Use SOTA computer vision model SAM 2 can track objects consistently across video frames in real-time, ensuring accurate segmentation even when objects temporarily disappear from view. Accelerate your video annotation workflow and automate pre-labeling.
Automatically pre-label data with Agents
Integrate SOTA computer vision models such as GPT4o, Gemini Pro 1.5 and more into training data preparation workflows to automate and accelerate image and video annotation processes.
Manage, curate, annotate and evaluate computer vision data on one platform
Unify multiple data management tools to one platform for more efficient data curation and computer vision annotation workflows driving improved AI model performance at lower cost.
Manage & Curate
Annotate & Review
Evaluate & Monitor
Testimonial
Supporting leading AI teams
We now have an integrated, one-stop solution for data management and data labeling as well as model performance validation to create feedback mechanisms to improve AI data annotation and models.
Encord’s DICOM annotation tool captures the shape of the pathology and performs label interpolation on the slices the annotators skipped. In a medical imaging case with 100 slices, annotators only have to label about 30 images.
Encord made it very easy to centrally keep track of data annotations, including who had made them and who had reviewed them to ensure quality control throughout. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and annotated data quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation throughput while still allowing for strong quality control.
Encord’s robust computer vision data annotation support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video native support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can streamline our data pipeline with the Encord medical imaging and video annotation tool.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data types, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening with a clear user-interface and data annotation dashboards.
We now have an integrated, one-stop solution for data management and data labeling as well as model performance validation to create feedback mechanisms to improve AI data annotation and models.
Encord’s DICOM annotation tool captures the shape of the pathology and performs label interpolation on the slices the annotators skipped. In a medical imaging case with 100 slices, annotators only have to label about 30 images.
Encord made it very easy to centrally keep track of data annotations, including who had made them and who had reviewed them to ensure quality control throughout. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and annotated data quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation throughput while still allowing for strong quality control.
Encord’s robust computer vision data annotation support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video native support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can streamline our data pipeline with the Encord medical imaging and video annotation tool.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data types, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening with a clear user-interface and data annotation dashboards.
Integration
Integrate seamlessly
Connect your cloud storage securely including GCP, AWS, Azure and Machine Learning Operations tools with dedicated integrations that slot seamlessly into your AI data workflows.
Security
Built with security in mind
Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
API and SDK
Developer-friendly for easy access
Leverage our API and SDK to programatically access projects, datasets & labels within the platform via API.
Forget fragmented workflows, computer vision annotation tools, and Notebooks for building AI applications. Encord's data curation and labeling platform accelerates every step of taking your model into production.
