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.

In this project, we will explain how we can use a model trained on Roboflow in our python projects with the help of API.

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. The project uses 5 cascade models, if one does not detect fracture it is passed to another

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.

Android application for watermelon leaves diseases detection! Below is the link to my documents!

This repo focuses on my works in the field of Computer Vision

Developed a system to detect guns in real-time video feeds using YOLOv9 and Roboflow so as to enhance security.

A beginner level prediction models for data science and computer vision