| Features |  |  |
|---|---|---|
| Quality of labeling software | 9.8 | 9.6 |
| Automated data labeling features | 9.4 | 8.9 |
| Collaboration workflows | 10 | N/A |
| Ease of deployment | 9.6 | N/A |
| Human-in-the-Loop features | 9.8 | 9.5 |
 |  |
Why they chose Encord over Superannotate
Encord's collaborative data labeling platform helps you automate data annotation with AI-assisted labeling, build active learning pipelines, and streamline labeling operations.
Trusted by leading AI teams
ENCORD ANNOTATE
Get labeled training data
10x faster
Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.
AI-powered Labeling
Annotate your visual data 10x faster
Efficiently label any computer vision modality and manage large scale annotation teams.
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Outsource
Highly accurate training data
Hire expert labelers who care about your AI training data accuracy and are expert annotators in your domain.
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Labeling types
Support for your annotation types
Automate model development and training processes with Encord’s advanced Python SDK and APIs.
Semantic Segmentation
Object Detection
Whole Slide Pathology
Image Classification
Polyline Annotation
Keypoint Skeleton Pose
Instance Segmentation
Hanging Protocols
Action Recognition
Panoptic Segmentation
Encord pushed forward our development process
We were able to train our new models on much better datasets with much higher quality labels, reducing our false acceptance rate from 6% to 1%.
Jeffrey Siaw
VP of Data Science, Vida ID
ENCORD ACTIVE
The leading
Active Learning toolkit
for ML teams
Validate and improve your training data and computer vision models with Encord Active. The leading open source active learning toolkit.
Data and Model Quality
Detect errors and edge-cases in visual data to improve your models
Automatically detect errors, edge cases, outliers, and duplicates in your data. Use custom embeddings and quality metrics to setup repeatable model test cases.
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Discover Label Errors
AI-assisted QA to ensure accurate and high quality labels
Automatically surface potential label errors with custom embeddings, label quality metrics, and model predictions. Works for object detection, segmentation and classification.
Learn moreActive Learning Pipelines
Upgrade your computer vision pipelines with active learning
Curate the most impactful data for labeling and model training by building active learning pipelines into your computer vision workflows. Choose between a range of acquisition functions or add your own.
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We reduced our false acceptance rate to just 1% from 6% using Encord’s platform since we could train our new models on much better datasets with much higher quality labels.
Jeffrey Siaw
VP of Data Science, VIDA
We really value Encord's SDK and having the flexibility to set up new projects with unique labelling tools that don’t just limit us to bounding boxes.
Esben Thorius
CTO, Teton AI
Encord helps us improve the quality of the data going into our models and measurably speeds up our go-to-market.
Charlotte Bax
CEO, Captur
Data & Security
An end-to-end
enterprise-ready platform
for your training data
API & SDK
Easily streamline training data pipelines
Minimise human effort & supervision through programmatic automation. Quickly compose labeling pipelines with image clustering, classical computer vision algorithms, and state of the art deep learning techniques.
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Seamlessly collaborate with your workforce
Manage your annotators, track and improve performance, and collaborate on annotations in real-time.
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Data & Security
Keeping your data secure, always
Security is core to the Encord platform — with SOC2, HIPAA, and GDPR compliance, alongside robust security and encryption standards.
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Integrations
Connect your ML toolkit
Import data from your preferred storage bucket. Build pipelines for annotation, validation, model training, and auditing.
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