Object Detection Classifier Service

This node is in dev.

This is a plug-and-play tool for object detection and classification using deep neural networks (Faster R-CNN ResNet-50 FPN Architecture [1]) that were already pretrained on the COCO Dataset. The code uses the Pytorch Library, more information can be found at Pytorch-Object-Detection.

The PREDICT method expects an image as input and will return a JSON with the predictions that are greater than the probability threshold. Let's say you have an image of a cat and a dog together and the probability output was 50% a dog and 80% a cat, if you set the threshold to 70%, the only detected object will be the cat, because its probability is grater than 70%.

This module works on uploaded images and gives as output the rectangle coordinates x1,y1 and x2,y2 were the classified object is located. It also provides you the probability of the classified detected object.