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vivekvar/cctv-datasets

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… See the full description on the dataset page: https://huggingface.co/datasets/vivekvar/cctv-datasets.

sourceHugging Faceotherupdated 6mo agoView on Hugging Face

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Dataset Card

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:

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: GNTTMS269, GNTTMS273 and other Andhra Pradesh RTGS nodes.
—Not included: raw video clips — too large and proprietary. Frames are extracted only.