Lxyhaha/NUS-WIDE
NUS-WIDE Dataset Overview The NUS-WIDE dataset is a large-scale multi-label image dataset that can be widely used for image classification and multi-label learning tasks. It contains 269,648 images collected from Flickr, annotated with 81 concept labels . Training set：161,789 images Test set：107,859 images Dataset Directory Structure NUS-WIDE ├── Groundtruth │ ├── TrainTestLabels │ │ ├── Labels_zebra_Train.txt │ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/Lxyhaha/NUS-WIDE.
| Author / organization | Lxyhaha |
|---|---|
| Downloads | 988 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 5 May 2025 |
| Last updated at source | 7 May 2025 |
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- 16 Oct 2026 Description: NUS-WIDE Dataset Overview The NUS-WIDE dataset is a large-scale multi-label image dataset that can be widely used for image classification and multi-label learning tasks. It contains 269,648 images collected from Flickr, annotated with 81 c → NUS-WIDE Dataset Overview The NUS-WIDE dataset is a large-scale multi-label image dataset that can be widely used for image classification and multi-label learning tasks. It contains 269,648 images collected from Flickr, annotated with 81 c
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