Supporting JPG, PNG, TIF, MP4, MOV, SVS, DICOM and counting. Upload data for video understanding to ultra-high resolution histology slides and browse them from the same platform.
Image status dynamically changes as your project advances, allowing you to train models on completed sections at any time.
Filter by upload date, annotator, tag, classes, and labeling progress. Preview images in a flash, powered by a high speed Elixir back-end.
Take a glance at your dataset's composition. Troubleshoot your model's performance by taking a look at class representation and instance frequency.
All the data scientists you work with should know exactly what your ground truth looks like. Invite unlimited team members, annotators, and collaborate in real time.
Never lose track of your annotation versions as your dataset evolves. Reference each model to a dataset version.