Category: Object Detection

In this article, we fine fine DETR (Detection Transformer) models on a custom aquarium dataset. After training, we also run inference on the test dataset and unseen videos. ...

In this article, we train the PyTorch RetinaNet model on a custom BCCD dataset. We go through the configuration of the RetinaNet model for custom training, train the model, and also carry out inference. ...

In this article, we go through the training of SSD300 VGG16 from Torchvision on a custom license plate detection dataset. ...

In this article, we train several Faster RCNN object detection models for to detect defects on the steel surface. ...

In this article, we train a Faster RCNN model for small scale traffic light detection using the PyTorch deep learning framework. ...