Depth Anything 2K Evaluation Benchmark.

Versatile evaluation benchmark for relative monocular depth estimation with ~1K high-resolution images and ~2K sparse pixel-pair relative-depth annotations across eight representative scenarios (indoor, outdoor, underwater, aerial, transparent/reflective objects, etc.)

Best published scores.

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Neighbouring benchmarks.

Other Depth estimation 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