Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS
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Updated
Jun 22, 2022 - C++
Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS
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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.
📊This repository contains a comprehensive collection of 📋50+ datasets spanning various domains including healthcare, 🔍entertainment, transportation, demographics, and more.
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.
This repo is implementation for PointNet and PointNet++ for binary (0 or 1) in pytorch.
Identify Formula One driver on the racetrack to improve decision-making.
VehicleVision AI is a custom-trained YOLOv8 object detection project that identifies and classifies multiple vehicle types from images through an interactive Streamlit web application.
Frontend for Personalized Video Chat AI Mentor 🎥 | Built with Next.js, TailwindCSS, and WebRTC for an interactive, real-time video tutoring experience with an AI humanoid.
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.
This repository provides a comprehensive guide to implementing YOLOv8 for pose estimation on custom datasets. It includes setup instructions, data preparation steps, and training scripts. Leverage the power of YOLOv8 to accurately detect and analyze poses in various applications, from sports analytics to interactive gaming.
This project is an AI-powered educational chatbot designed to provide students and educational institutions with seamless access to information about courses, admissions, curriculum updates, and more. The chatbot features a modern, interactive interface with user-friendly functionality and an intuitive design.
Generative AI custom data fine tuning with google cloud vertax ai
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…
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