This project demonstrates how to track a ball in a video showcasing a Tennis game by training a custom YOLO detection model. The model is trained not only for ball detection but also interpolation to handle areas where the tracking fails.
From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 a model is obtained, based on yolov10 to detect drones in images. Predictions from several models are used in cascade to obtain the optimal result.
Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOV8.
This repository demonstrates how to fine-tune YOLOv11n on multiple fire detection datasets. It provides a complete pipeline for combining multiple datasets from Roboflow, training a unified model, and evaluating its performance.
Utilize YoloV8 for object detection of copper ore in Albion Online game with farming capabilities.
AI-Powered UI Element Detection in Website Screenshots 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
Custom Yolov8x-cls edge model deployment and training to classify trash vs recycling.
Use machine learning to identify players, refs and football field markings.
AI-driven robotic system using YOLOv5 for real-time biomedical waste detection and automated segregation, developed as part of a patented research project.
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.
Test using a simplified Yolo model from Scratch, training the Roboflow file https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 and using OpenCV functions for drone detection.
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. The project uses 5 cascade models, if one does not detect fracture it is passed to another
Detection of fractures in images by obtaining the X and Y coordinates of the center of the fracture applying ML (SVR). It is applied to a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1 Compared to other tests using DL for the same set of data, much better precision and training time
A football analysis system built using YOLOv5, Supervision, OpenCV in Python.
From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1# a model is obtained, based on ML (SVR), with that custom dataset, to indicate drones detection
From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on ML (SVR), with that custom dataset, to indicate fractures in x-rays.
solar_panel_anomalies-Yolo. This is an essay that obtains a model to detect anomalies in solar panels using the roboflow file https://universe.roboflow.com/ron-zhyan/solar-panel-anomalies-hikbk-0joqn/dataset/1 as a dataset and a training with yolov11
Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.
This is a mirror of my final project I did with my colleagues at Le Wagon Data Science & AI bootcamp
Add a description, image, and links to the roboflow-dataset topic page so that developers can more easily learn about it.
To associate your repository with the roboflow-dataset topic, visit your repo's landing page and select "manage topics."