Image augumentation for deep learning

This project aims to develop a high-precision legal expert system for contract Q&A using Retrieval-Augmented Generation (RAG). The system leverages advanced natural language processing (NLP) techniques to provide accurate and context-aware answers to questions about legal contracts and integrates a powerful language model with a custom retrieval

Waste image classification into organic or recyclable ones with CNN algorithm.

the implementation of mosaic-yolov4

Project aims to create a face mask detection system using Convolutional Neural Networks (CNNs)

Kaggle Competition: The recognition diseases on apple leaves based on their photos by using CNN and MobileNet V2 model.

It is tensorflow 2.0 implementation on Eurosat Dataset. IT classfies different types of satelite images. Used transfer learning in end to reduce overfitting and increase accuracy.

Transformations for image + bboxes using PIL and Pytorch

augmenting object detection dataset along with bounding box annotations

Distinguish bees from wasps