CharadesSTA.

The Charades dataset contains 66,500 temporal annotations for 157 action classes, 41,104 labels for 46 object classes, and 27,847 textual descriptions of the videos. It is designed to guide research into unstructured video activity recognition and commonsense reasoning for daily human activities.

Best published scores.

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Neighbouring benchmarks.

Other Few-Shot Image Classification datasets on Codesota.

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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies