This post shows how to train a custom neural network model on the traffic sign recognition dataset using PyTorch. ...
Traffic Sign Recognition using Custom Image Classification Model in PyTorch
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Computer Vision in AI encompasses various tasks including classical computer vision, deep learning based image classification, image classification, object detection etc.
This post shows how to train a custom neural network model on the traffic sign recognition dataset using PyTorch. ...
In this post, we explore how to use any Torchvision pretrained model as a backbone for PyTorch Faster RCNN. Add backbones like SqueezeNets and ResNets to Faster RCNN. ...
This post explains a custom object detection pipeline to train a PyTorch Faster RCNN model on traffic sign images. ...
In this post, we carry out traffic sign recognition using PyTorch and Deep Learning with the MobileNetV3 Large Neural Network model. ...
In this post, we train a MobileNetV3 neural network model to recognize real and fake human faces. ...
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