Sign inGet started
Dataset · Hugging Face

ucasmichael/fractal20220817_data

Fractal20220817 Dataset The Fractal20220817 dataset is provided in RLDS format and contains monocular depth annotations generated using Video-Depth-Anything(Model: Video-Depth-Anything-V2-Small). Format: RLDS Depth Annotation method: Video-Depth-Anything (monocular depth estimation) Total size: 154 GB feature.json { "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict", "featuresDict": { "features": { "attributes": {… See the full description on the dataset page: https://huggingface.co/datasets/ucasmichael/fractal20220817_data.

Author / organizationucasmichael
Downloads334 (as reported by Hugging Face)
Likes1
Created8 August 2025
Last updated at source15 August 2025
RoboticsPre-training
Embed this entry
<iframe src="https://silytics.si/embed/item/8b7aa644-4234-4f31-b252-85f32b78a5da" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

334 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.