YOLOv8-Pose-GUI Real-time pose estimation & sitting posture analysis. Input: image / video / camera. Detects: normal sitting, bowed head, hunchback, left/right tilt.

Tensorrt codebase to inference in c++ for all major neural arch using onnx

Custom YOLOv8 model for detecting and classifying car body damage—optimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

computer vision with yolov8 and opencv

YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam

YOLO-Based Real-Time Object Detection for Autonomous Driving in CARLA

Real‑time badminton analytics using YOLOv8‑Pose - skeleton overlay, player stats and trajectory visualisation with OpenCV & MoviePy.

Custom Model Deployment on Raspberry Pi5 Hailo-8L AI kit with Colab and Google Cloud Platform. No local x86 of NVIDIA GPU needed.

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

Real-time multi-object detection, tracking, and counting using YOLOv8 and DeepSORT

A simple yet powerful real-time object detection application that uses a pre-trained SSD MobileNetV3 model with OpenCV to identify and label 80 common objects from a live webcam feed.

Utilize YoloV8 for object detection of copper ore in Albion Online game with farming capabilities.

This repository is a collection of Python scripts and Jupyter notebooks for understanding the performance improvement in image classification, object detection and instance segmentation with OpenVINO. It also contains reference implementations of dwell time analytics, ALPR and polyp detection.

VisionTracker benchmarks multi-object tracking using YOLOv11l with SORT, DeepSORT, and OCSORT. It provides heuristic metrics like track lifetime, ID switches, bounding box volatility, and trajectory analysis, generating tracked videos, logs, and plots, all without ground-truth annotations.

This project develops forecasting models for monitoring forest health, focusing on Larch Casebearer damage using Yolov8 models, with a focus on evaluating the environmental impact of the training process

An attempt to create a "Red Light, Green Light" robot inspired by Squid Game TV series, using AI for player recognition and tracking on Raspberry Pi 5 + animated doll and shooter using ESP32.

🖐️ Streamlit app with MediaPipe and Ultralytics YOLOv8 hand gesture recognition (HGR) demos using custom trained models.

Apple Detection (Fresh / Stale) With YOLOv8 and Flask

InsightQC is an innovative quality control solution designed for the additive manufacturing industry, focusing on defect detection and maintenance scheduling using machine learning and computer vision technologies. The platform helps detect surface defects, predict maintenance needs, and streamline the quality control process.