COCO 2017 Object Detection (validation split).

COCO 2017 validation split (5K images) for object detection evaluation. This dataset is specifically used for object detection tasks, where models are evaluated on their ability to detect and localize objects in images using bounding boxes.

Best published scores.

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Neighbouring benchmarks.

Other Object Detection datasets on Codesota.

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• 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