Source: Deep Learning on Medium
a case study on object detection in image recognition
My last post “Exploring OpenCV’s Deep Learning Object Detection Library” had given a review on SSD/MobileNet and YOLOv2 under OpenCV 3.4.1 Deep Neural Network Module for object detection. It had also shown some examples detected by these two models. (ref: Figure 1 and Figure 2)
Because OpenCV 3.4.1 Deep Neural Network Module doesn’t support training on our own dataset, I am searching for other solutions which can support my future research on object detection. I have reviewed two implementations of YOLOv3 by Keras and Tensorflow on the Github:
Here is a brief on the pre-trained models and the training steps under the implementation of qqwweee.