imageNet
In this article, we use ImageNet pre-trained CNN models for image classification tasks.
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. We have covered mAP evaluation in detail to clear all your confusions regarding model evaluation metrics.
Our consulting company, Big Vision, has a long history of solving challenging computer vision and AI problems in diverse fields ranging from document analysis, security, manufacturing, real estate, beauty and
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network
In a previous post, we covered the concept of fully convolutional neural networks (FCN) in PyTorch, where we showed how we could solve the classification task using the input image
