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.

project-codebeing

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 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 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.

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

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.

This repository contains my PyTorch practice notebooks

Todo List app is an listing anything you need and help for remebering of anything you do, today or tomorrow. todo list app using such as SwiftUI framework, user default, custom data model and using MVVM architecture. User default to help you, save and manage your data and changes. I make sure your data is not loss.

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…

Second project about Classification

Contains links of repos from which we can make deep learning models on custom dataset (Classification to Action Recognition)

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