Shima Azizi Majd's repositories
HandGesture-Recognizer
This repository contains a custom dataset for Gesture Recognition, collected and curated personally. The dataset comprises 200 high-quality images, categorized into four hand gestures: Open Palm, Fist, Thumbs Up, and Peace Sign.
YOLOv5-Hand-Gesture
This repository is for implementing YOLOv5 for hand gesture recognition. The dataset consists of 200 images of four hand gesture classes: Fist, OpenPalm, PeaceSign, and ThumbsUp. The dataset was created by myself.
Digit-Recognizer
Digit Recognizer with the Mnist data.
HandGestureMaskPredictor
This repository contains code for a segmentation project using the UNet architecture. The project involves training a deep learning model to perform image segmentation on a custom dataset of hand gestures.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Telegram__statistics
Export Statistics for Telegram Group Chat.