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encord-client-python
Publicencord-agents
PublicBuild and deploy AI agents for automated labeling, quality assurance, and workflow automation in the Encord ecosystem.encord-notebooks
Publicdicom-metadata-upload
Publicencord-active
PublicThe toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.frontend-assignment
Public templatebackend-assignment
Public templateAnnotate
Publicencord-maskrcnn
Publictext-to-image-eval
PublicEvaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.segment-anything-2
Publicdetectron2
Publicencord-dataset
PublicDataset based on data from the Encord client.