| --- |
| license: other |
| license_name: rtgs-internal |
| license_link: LICENSE |
| task_categories: |
| - object-detection |
| - image-classification |
| tags: |
| - cctv |
| - helmet-detection |
| - anpr |
| - india |
| - motorcycle |
| pretty_name: Andhra Pradesh RTGS CCTV helmet + plate datasets |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CCTV Datasets for helmet detection + ANPR |
|
|
| Training and evaluation data used by [vivekvar/helmet-v5](https://huggingface.co/vivekvar/helmet-v5) and [vivekvar/helmet-v4](https://huggingface.co/vivekvar/helmet-v4). |
|
|
| Source: Andhra Pradesh RTGS CCTV feeds (public road cameras). All crops and frames are from motorcycle traffic scenes. |
|
|
| ## Folders |
|
|
| | Folder | Contents | Purpose | |
| |---|---|---| |
| | `merged_v3/` | YOLO-format dataset (`data.yaml` + `train/valid/test`) | Bike + rider detection training | |
| | `clean_merged_data/` | Cleaned / deduped crop set | Base training data for v4 | |
| | `extra_khadatkar/` | Additional labeled crops (source: Khadatkar junction) | Augment v4 helmet classifier | |
| | `extra_learning/` | High-quality hand-checked samples | Active-learning batch | |
| | `extra_nckh/` | Additional labeled crops (source: NCKH junction) | Augment v4 helmet classifier | |
|
|
| ## Use |
|
|
| `merged_v3/data.yaml` is ready for Ultralytics YOLO: |
|
|
| ```bash |
| yolo detect train data=merged_v3/data.yaml model=yolo11l.pt imgsz=1280 epochs=50 |
| ``` |
|
|
| Crop folders use directory-per-class layout compatible with `torchvision.datasets.ImageFolder`. |
|
|
| ## Notes |
|
|
| - Labels are a mix of human-verified and model-pseudo-labeled (helmet-v4 self-labels). The `extra_*` sets skew higher quality. |
| - Cameras used: GNT_TMS_269, GNT_TMS_273 and other Andhra Pradesh RTGS nodes. |
| - Not included: raw video clips — too large and proprietary. Frames are extracted only. |
|
|
