Human Action Recognition using a 2D CNN, specifically, fine tuning a pretrained ResNet50 model on a dataset with 15 action classes. ...
Human Action Recognition using 2D CNN with PyTorch
Human Action Recognition using a 2D CNN, specifically, fine tuning a pretrained ResNet50 model on a dataset with 15 action classes. ...
In this article, we use a PyTorch SSD model with custom ResNet34 backbone and train it on a person detection dataset. ...
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. ...
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