experiencor/keras-yolo3
A Keras implementation of YOLO3 for training and detecting objects in images.
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This repository provides a complete implementation of the YOLO3 object detection algorithm using Keras and TensorFlow. It supports full training pipelines including warmup and multi-scale training, multi-GPU acceleration, and evaluation using mean Average Precision (mAP). The project includes pre-trained weights and configurations for detecting various object classes across custom and standard datasets like VOC and raccoon imagery.
Frequently asked
- What is experiencor/keras-yolo3?
- A Keras implementation of YOLO3 for training and detecting objects in images.
- Is keras-yolo3 open source?
- Yes — experiencor/keras-yolo3 is open source, released under the MIT license.
- What language is keras-yolo3 written in?
- experiencor/keras-yolo3 is primarily written in Python.
- How popular is keras-yolo3?
- experiencor/keras-yolo3 has 1.6k stars on GitHub.
- Where can I find keras-yolo3?
- experiencor/keras-yolo3 is on GitHub at https://github.com/experiencor/keras-yolo3.