| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| tags: [coco, object-detection, benchmark, edge, jetson] |
| pretty_name: COCO val2017 mini-500 |
| size_categories: |
| - n<1K |
| --- |
| |
| # COCO val2017 mini-500 |
|
|
| A **frozen, reproducible 500-image subset** of COCO `val2017` for fast object-detection |
| **latency/throughput benchmarking** on edge devices (e.g. LibreYOLO on NVIDIA Jetson), where the |
| full 5000-image val set is impractical. |
|
|
| ## Selection (deterministic) |
| The 500 images are `sorted(COCO.getImgIds())[:500]` of the official `instances_val2017.json` |
| (the 500 lowest image IDs) — identical to running the |
| [vision-analysis-benchmark](https://github.com/LibreYOLO/vision-analysis-benchmark) harness with `--limit 500`. |
|
|
| | field | value | |
| |---|---| |
| | images | 500 | |
| | annotations | 3541 | |
| | image_ids SHA-256 | `74bea76eee276928bb1fb2f3b30e6a6e2760124a1de4931727b50080ccf81951` | |
| | subset annotations SHA-256 | `31c8e48b3e0bc957da945ad43697f8d519d7aaeb5971cef19e4cfaa4a8423a56` | |
| | source instances_val2017.json SHA-256 | `e8c7f7908f1d7278341fae127d0da654f102f11bd7b21d8aeefa635b8c810b6f` | |
|
|
| ## Structure |
| ``` |
| annotations/instances_val2017_mini500.json # COCO format, filtered to the 500 images |
| images/val2017/*.jpg # the 500 images |
| manifest.json # image_ids + file_names + SHA-256 fingerprints |
| ``` |
|
|
| ## Usage |
| ```python |
| from pycocotools.coco import COCO |
| coco = COCO("annotations/instances_val2017_mini500.json") |
| print(len(coco.getImgIds())) # 500 |
| ``` |
|
|
| ## Provenance, license & attribution |
| Derived from **COCO 2017** (Lin et al., *Microsoft COCO: Common Objects in Context*, ECCV 2014) — https://cocodataset.org. |
| **Annotations** are CC BY 4.0 (COCO Consortium). **Images** are from Flickr and retain their original licenses |
| as listed in the COCO `licenses` field (preserved in the annotations file); re-hosted unmodified only to make this |
| benchmark subset turnkey. No new annotations are added — this is a deterministic repackaged slice of the official release. |
|
|
