I have created my own object detection model using Google Colab and flowed through the tutorial given below.
Around 100 images were labeled with Labellmg for single-object detection.
The chosen model is ssd-mobilenet-v2-fpnlite-320, and the generated model is Saved Model. We converted it into both the TFLite model and the Tensorflow.js graph model.
I followed the code from the tutorial given below.
I was wondering how much faster COCO-SSD and Tensorflow.js are. It detects around 80 objects very quickly.
But my custom model (the TensorFlow.js graph model), which is trained for single-object detection, is freezing on browsers.
How can I improve my object detection speed on browsers, especially on mobile browsers?