blanchon/dinodepth-dataset

DinoDepth A large, harmonized, pre-shuffled corpus of 358,905 (image, depth) pairs for training monocular affine-invariant depth models. Five complementary sources — indoor, driving, robotics, aerial, and multi-view-stereo — are decoded to a single planar-depth convention, packed into uniform ~1 GB Parquet shards, and globally shuffled so any shard is a representative sample of the whole. Schema column type description dataset string source dataset tag… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/dinodepth-dataset.

<iframe src="https://silytics.si/embed/item/a02e5bd3-7e74-42f9-b5c4-d6942329874b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.