hf-gx/IAS-160K-D
IAS-160k-D Dataset description IAS-160k-D is an object detection dataset for invasive alien species. It contains 5,537 images covering 18 invasive alien animal species, with 6,031 manually annotated bounding boxes. Bounding boxes were annotated using LabelImg and converted to the YOLO format. The dataset is divided into training, validation, and test subsets at an approximate ratio of 70:15:15: Split Images Bounding boxes Training 3,868 4,242… See the full description on the dataset page: https://huggingface.co/datasets/hf-gx/IAS-160K-D.
| Author / organization | hf-gx |
|---|---|
| License (as declared) | other |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 October 2026 |
| Last updated at source | 22 October 2026 |
Recent changes
- 22 Oct 2026 Description: IAS-160k-D IAS-160k-D supports object-level detection of invasive alien animals and insects. As described in the original ScienceDB record, the images were annotated with LabelImg and the bounding boxes were converted to YOLO format. The da → IAS-160k-D Dataset description IAS-160k-D is an object detection dataset for invasive alien species. It contains 5,537 images covering 18 invasive alien animal species, with 6,031 manually annotated bounding boxes. Bounding boxes were annot
- 22 Oct 2026 Description: IAS-160K-D IAS-160K-D supports object-level detection of invasive alien animals and insects. As described in the original ScienceDB record, the images were annotated with LabelImg and the bounding boxes were converted to YOLO format. The da → IAS-160k-D IAS-160k-D supports object-level detection of invasive alien animals and insects. As described in the original ScienceDB record, the images were annotated with LabelImg and the bounding boxes were converted to YOLO format. The da
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