Annotate your items with a keypoint, activate the keypoint converter application and watch how your image transforms to either semantic segmentation or polygon. Reduce your manual labor, increase efficiency and improve your annotation productivity.
Compare model predictions, evaluate model confidence, and validate model results all in one place. Manage your models and keep track of your model history. Visualize and inspect your models, evaluate datasets and compare experiments all with a simple integration with the Dataloop platform.
Improve your labeling efficiency and reduce costs by up to 90%. AI-assisted tools for automation include classification, detection & segmentation. Tried and tested on multiple industries including smart retail, precision agriculture, autonomous vehicles and more.
Search, sort, filter, clone & merge millions and millions of items using the data management system for ML and AI data. Filters include data type, class names, annotation types and much, much more.
Use Dataloop AI's Python SDK to cluster and classify millions of images In this video you can watch how volumes of data are clustered and then mass classified with our SDK. Add your own ML and redefine mass labeling…
If you have large amounts of data and need to improve your time to deliver labeled datasets, then this feature is for you: integrate your models (or use our built-in models) and watch as your data gets automatically labeled. It's that simple.
Generate more accurate data for your vehicle inspection AI. Whether it's identifying scratches with pixel-level accurate semantic segmentation, detecting dents with polygons, or everything else under the hood.
Grab video snapshots of specific plays and begin labeling images. Make pixel-accurate annotations of player positions, movements and environment. Replay the scene directly from your image snapshot and gain context from the video scene.
Stay tuned with the latest updates and features released