Category: Deep Learning

In this article, we explore the DETR model for object detection. Along with a short discussion of the model architecture, we also carry out inference on 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 train several Faster RCNN object detection models for to detect defects on the steel surface. ...

In this article, we are training the UNet semantic segmentation from scratch on the Penn-Fudan Pedestrian segmentation dataset. ...

In this article, we train several PyTorch DeepLabV3 segmentation models for Retinal Vessel Segmentation. ...