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

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.

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

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.

India Academia Connect AI Hackathon October 2021

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.

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

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.

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.

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…

This repository contains my PyTorch practice notebooks

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

Second project about Classification

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

This project focuses on optimizing overpass detection using YOLOv8. It involves training the model with a custom dataset created from synchronized dashcam footage and GPS data. The objective is to refine the model's accuracy in identifying overpasses, enabling precise determination of vehicle location and timing during these instances.

Custom Image classifier with flask web app

We used Masked RCNN to predict the objects underwater. It is used in Image Processing module of AntahSagari.

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.