We have applied YOLO-V3 Object detection on SAR Satellite Images. We are detecting ship by these Images where SAR sensors are immune to bad weather and night time which a great way of detecting . We applied YOLO-V3 to it and it gives best accuracy:speed ratio in the world among all other models and methods applied. We are further looking to improve the accuracy where the current accuracy is 90.25 %.
We have included the Config file which is the model architecture for the darknet deep learning framework where we changed the models in many ways for our results , from data augmentation to hyper-parameters. Anchors boxes is also given in this repositories. Some scripts which converted the VOC Xml into Darknet Text Format
PREDICTION 1
PREDICTION 1
We have written a research paper on this project and submitted into a Springer conference.