PINTO0309/crowdhuman_hollywoodhead_yolo_convert

YOLOv7 training. Generates a head-only dataset in YOLO format. The labels included in the CrowdHuman dataset are Head and FullBody, but ignore FullBody.

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Experimental

This tool helps computer vision engineers prepare image datasets for training 'head detection' models. It takes raw CrowdHuman and HollywoodHeads datasets, extracts only the head annotations, and converts them into the YOLO format. The output is a highly curated dataset ready for direct use in YOLOv7 model training.

No commits in the last 6 months.

Use this if you need to train a computer vision model specifically to detect human heads in images using YOLOv7, and you want to leverage existing large datasets efficiently.

Not ideal if you need to detect full bodies, other objects, or are using a different object detection framework than YOLOv7.

object-detection dataset-preparation computer-vision model-training image-annotation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

32

Forks

2

Language

Python

License

GPL-3.0

Last pushed

Jun 14, 2024

Commits (30d)

0

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