FellowshipAi project

Most tutorials on GradCAM are made for Image Classification tasks. This repo will provide an example of GradCAM for object detection using YOLOv3.

A standalone desktop application for image classification with visualization and reporting

Grad-CAM Implementation in PyTorch

MNIST classification and visualize class activation maps with Pytorch.

Interpretable Computer Vision: Visualising the zones of steepest gradients in the last convolutional layer

Leveraging the power of transfer learning using the VGG19 network within TensorFlow to tackle the specific problem of image classification.

A script to generate grad-cam pictures for Apple chip.

This repository aims to implement a mushroom type classifier using PyTorch, utilizing various models to enhance performance. Additionally, the project includes an analysis of the model's performance using Gradient-Class Activation Map (Grad-CAM) visualization.

Paper under review on "Multimedia Tools and Applications" journal.

Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset

ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.

GradCam Implementation on the VGGNet

This project aims to predict the age of individuals from images using a pre-trained ResNet50 model. We preprocess the dataset, train the model, and visualize the results using Grad-CAM.

Face mask classification with convolutional neural networks via Tensorflow & Keras 😷

Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM) for image classification tasks.

Image Classification for Grey Natural Scene Images

A pytorch implementation of GradCAM