yhcao/V3Det_ImageNet21k_Cls_100
Install datasets package First, make sure you have the datasets library installed. If not, you can install it using: pip install datasets Load Dataset from Arrow File Download all arrow files to local_path. The follow is how to load arrow files and decode image: from datasets import load_from_disk from io import BytesIO import base64 from PIL import Image import mmengine # Path to your Arrow dataset directory arrow_dataset_path =… See the full description on the dataset page: https://huggingface.co/datasets/yhcao/V3Det_ImageNet21k_Cls_100.
| Author / organization | yhcao |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 191 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 May 2024 |
| Last updated at source | 29 May 2024 |
Popularity, last 4 days
191 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Install datasets package First, make sure you have the datasets library installed. If not, you can install it using: pip install datasets Load Dataset from Arrow File Download all arrow files to local_path. The follow is how to load arrow f → Install datasets package First, make sure you have the datasets library installed. If not, you can install it using: pip install datasets Load Dataset from Arrow File Download all arrow files to local_path. The follow is how to load arrow f
Changes detected by Silytics between refreshes of the source.
More from yhcao
- yhcao/V3Det_BackupDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.