yolov8-detection
Here are 11 public repositories matching this topic...
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.
-
Updated
Jun 24, 2025 - Python
Utilize YoloV8 for object detection of copper ore in Albion Online game with farming capabilities.
-
Updated
Nov 19, 2024 - Python
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.
-
Updated
Aug 26, 2025 - Python
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.
-
Updated
Apr 6, 2025 - Python
This project is a production-ready YOLOv8n Computer Vision model for industrial egg fertility sorting with aws implementation plans including cost reporting.
-
Updated
Oct 6, 2024 - Python
🖐️ Streamlit app with MediaPipe and Ultralytics YOLOv8 hand gesture recognition (HGR) demos using custom trained models.
-
Updated
Sep 15, 2024 - Python
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
-
Updated
Sep 2, 2024 - Python
Deteksi objek pria & wanita menggunakan YOLOv8 dengan Python
-
Updated
Apr 12, 2025 - Python
Detecting Dormice in Images Using Object Detection and Transfer Learning
-
Updated
Nov 13, 2024 - Python
Improve this page
Add a description, image, and links to the yolov8-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the yolov8-detection topic, visit your repo's landing page and select "manage topics."