Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOV8.
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Updated
Feb 20, 2024 - Python
Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOV8.
A computer Vision project for avoiding potholes on road.
Detection of fractures in radiographs by obtaining the X and Y coordinates of the center of the fracture applying ML (SVR) to obtain the values of these coordinates separately. It is applied to a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1
Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained using an adaptation of the project https://www.kaggle.com/code/nyachhyonjinu/yolov3-test instead any yolo model
This project focuses on leveraging the YOLO-NAS model for Smoke Detection.
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained based on yolov10 with that custom dataset to indicate fractures in x-rays.
Soccer analysis using YOLOv8 & Supervision ByteTrack
This project aims to train the YOLOv7 object detection model on a custom dataset comprising diverse aquarium images containing fish and aquatic creatures.
Object Detection model using Yolov8
The road sign recognition system of the Russian Federation, which uses an already prepared model for object detection and image segmentation in real time to improve road safety
Final Year Project: "Wire detection using CV". Link to dataset:
Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.
How to Train YOLOv8 Instance Segmentation on a Custom Dataset
A Web Application which can analyze the live chessboard and give suggestions using AI.
Fruit Detection using RoboFlow API : Apple, PineApple, Watermelon, Onions, Tomato
From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on yolov10, with that custom dataset, to indicate fractures in x-rays.
Custom Yolov8x-cls edge model deployment and training to classify trash vs recycling.
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