Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS

This project involves making custom datasets for the YOLO series and model training methods for YOLO.

This project involves using Intel Realsense to capture RGB images, depth images, and pseudo colored depth images, and is suitable for creating custom datasets for algorithms such as object detection, instance segmentation, and semantic segmentation.

Utilizing YOLOv8, my GitHub project implements personalized data for training a custom facial recognition system, improving accuracy in identifying diverse facial features across real-world applications.

Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.

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Python Ukrainian Traffic Sign Classification CNN with Custom Dataset for 2023 Course Paper

Simple Custom object classification with pytorch | Custom Model | Custom dataset | ONNX inference

This project aims to address the unique challenges of automated traffic detection in the context of Dhaka, Bangladesh. The project utilizes the YOLOv8 model to detect and recognize various types of vehicles on the roads of Dhaka.

This repository houses my notebook for replicating the paper on Vision Transformers from scratch. The replication is performed on a custom version of an Indian Food dataset, tailored specifically for a classification task.

India Academia Connect AI Hackathon October 2021

This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.

Identify Formula One driver on the racetrack to improve decision-making.

This repo is implementation for PointNet and PointNet++ for binary (0 or 1) in pytorch.

This project aims to detect diseases in vegetables using YOLOv11, a state-of-the-art object detection model, and integrate it with a Flask web application. The system will capture live images from a webcam or IP camera, process them using the trained model, and display the detection results in real time.

Generative AI custom data fine tuning with google cloud vertax ai

this projet is a homemade projet to explore posibilities of machine learning for forcasting issues

This repository contains my PyTorch practice notebooks

Notes about usage: This code is to create a custom video dataset to train deeplearning models using PyTorch on consecutive video frames extracted from a video. This code expects the extracted video frames in separate folders. For example, video1's frames will be in a folder named 'video1'. You can use OpenCV to extract video frames and save insi…