This is a follow-up post on “Building a Real-Time Object Recognition App with Tensorflow and OpenCV” where I focus on training my own classes. Specifically, I trained my own Raccoon detector on a dataset that I collected and labeled by myself. The full dataset is available on my Github repo. By the way, here is the Raccoon detector in action: The Raccoon detector.If you want to know the details, y
![How to train your own Object Detector with TensorFlow’s Object Detector API](https://cdn-ak-scissors.b.st-hatena.com/image/square/302c73119c394efdefb141a85a7dd5a91358dd40/height=288;version=1;width=512/https%3A%2F%2Fmiro.medium.com%2Fv2%2Fda%3Atrue%2Fresize%3Afit%3A600%2F1%2ApyDWEf7qautBRq3lcw5xew.gif)