gengyanlei/fire-smoke-detect-yolov4
Fire and smoke detection system using YOLOv4/YOLOv5 object detection models trained on a custom dataset.
Not currently ranked — collecting fresh signals.
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This repository provides a fire and smoke detection system built on YOLOv4 and YOLOv5 object detection architectures. It includes a curated fire-smoke-detection dataset for training custom detection models. The project uses PyTorch and Darknet frameworks for model training and inference, and is intended for deployment in smart city and surveillance applications.
Frequently asked
- What is gengyanlei/fire-smoke-detect-yolov4?
- Fire and smoke detection system using YOLOv4/YOLOv5 object detection models trained on a custom dataset.
- Is fire-smoke-detect-yolov4 open source?
- Yes — gengyanlei/fire-smoke-detect-yolov4 is open source, released under the MIT license.
- What language is fire-smoke-detect-yolov4 written in?
- gengyanlei/fire-smoke-detect-yolov4 is primarily written in Jupyter Notebook.
- How popular is fire-smoke-detect-yolov4?
- gengyanlei/fire-smoke-detect-yolov4 has 1.5k stars on GitHub.
- Where can I find fire-smoke-detect-yolov4?
- gengyanlei/fire-smoke-detect-yolov4 is on GitHub at https://github.com/gengyanlei/fire-smoke-detect-yolov4.