A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener/YAD2K.
- How to load your custom image detection data from Roboflow
- How set up the YOLOv3 model in keras
- How to train the YOLOv3 model
- How to use the model for inference
- How to save the keras model weights for future use
- This blog post provides a deep dive into the tutorial
- This notebook provides the code necessary to run the tutorial
- For reading purposes, the notebook is also saved in Tutorial.ipynb
Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
