Datasets:

vivekvar
/

cctv-datasets

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 and 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:

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.