Zero-Shot Prediction Plugin for FiftyOne

This week's FiftyOne Plugin focuses on Zero-Shot Prediction, a process that generates initial predictions for computer vision tasks without explicitly being given any example predictions. The plugin unifies the interface across five tasks and allows users to specify label classes and models. It includes operators for zero-shot classification, object detection, instance segmentation, and semantic segmentation. Users can also choose to run inference on a subset of their data or delegate execution to be completed at a later time. The plugin is compatible with popular computer vision models like CLIP and SAM, as well as others that may be added by users.

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