The Leading Platform for Data Curation
Encord is the data platform for all computer vision teams. Streamline annotation & RLHF workflows, observe & evaluate models, and manage & curate data to get to production AI faster.
Trusted by pioneering AI teams
Encord Active
Curate High Quality Data and Build Better Models, Faster
Whether you've just started collecting data, labeled your first batch of samples, or have multiple models in production, Encord Active can help you.
Manage your dataset
Explore all your unstructured visual data in one place
Visualize, query and slice data to organize your datasets and easily find samples that match your criteria.
Learn more about dataset managementCurate better data
Prioritize data for labeling to curate high-quality datasets
Sort and filter your raw data by quality metrics to exclude outliers or corrupt frames, find edge-cases, and curate balanced datasets.
Learn more about curating your data
Train better models
Identify the right data to boost model performance
Find model failure modes and identify the most valuable data points to debug your model.
Learn more about our quality metrics hereOur customers
Don’t just take our word for it
“The labeling automation (using object tracking and interpolation) has made it much quicker for us to label our videos....
...Combined with Encord's 'micro-models' (which further speed up video labeling) we've been able to reduce how much it costs us to create high quality labeled data. And the platform's really flexible - we're not limited by the length of the video we can upload or confined to a small range of compatible file formats.
- Victor, G2 reviewer
“I really like how the software makes it easy to label videos...
...The interpolation feature is really helpful and makes it way faster than the other tools I've used before. Also, the micro-model feature is really cool because it lets me pre-label videos so it's less work for me.”
- Jessie, G2 reviewer
“The Encord platform is really easy to use for annotating videos...
...With Encord's interpolation feature we can label videos much more efficiently than with the tools we were using previously. The micro-model feature also makes labeling much more efficient, as we can pre-label videos so our annotators spend less time doing manual labels.”
- Conrad, G2 reviewer
“One of the best bits of Encord are the powerful ontologies we can create...
...We can build a really complex labelling structure to cover advanced labelling requirements. Even more useful when combined with the action classification - means you can create very rich datasets to train a ML model on.”
- G2 reviewer
“For research and the other things, I am a heavy user of different annotation tools and I can confidently say that Encord is one of the best ones out there...
...Its versatility and ever-evolving nature never cease to amaze me, allowing me to annotate objects with ease and precision… The interface is simple yet powerful and making annotation-intensive studies a breeze, especially when working with multiple objects.”
- G2 reviewer
“This was the first tool we found that could handle the enormous labeling taxonomy we had.....
...We have to catalog many different types of products and Encord’s ontology feature was extremely useful in packing everything into a usable structure. The interface is also quite intuitive and the hotkeys make it easy for our team to navigate and speed up the annotation process.”
- Victor, G2 reviewer
case study
Why they chose Encord
Problem
Certain classes of data underperforming and needed to analyze the source of the discrepanciesSolution
Encord Active’s quality metrics and model failure modes
Improved overall last-mile by 2%
Improved edge-cases by 67%
“Diving deep into the performance on a class-by-class basis allowed us to tackle some of the worst-performing classes and improve their performance based on insights from analysis of the datasets”
Try Encord today
