unique-chan/AMOD
AMOD: A Large-scale Benchmark for RGB-T Multi-view Aerial Military Object Detection Project Page | Paper | GitHub Dataset overview: (a) Sample images with annotations from our AMOD dataset. (b) Comparison of the AMOD dataset with existing RGB-T aerial object detection benchmarks. Dataset structure: After download this repository, please unzip AMOD-RGB.zip and AMOD-T.zip. |โโ ๐ AMOD |โโ ๐ AMOD-RGB |โโ ๐ train |โโ ๐ train_imgs |โโ ๐ 0000 //โฆ See the full description on the dataset page: https://huggingface.co/datasets/unique-chan/AMOD.
| Author / organization | unique-chan |
|---|---|
| License (as declared) | mit |
| Downloads | 588 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 6 April 2026 |
| Last updated at source | 23 July 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.