Detect objects in drone videos and plot them on a map

Applying Deep Learning Approaches to Volleyball Data

Example showing how to do inference on a video file with Roboflow Infer

A computer vision powered Blackjack basic strategy app powered by Roboflow.

In this project, I aim to raise people's awareness and encourage them to recycle so that the oceans, seas, or the environment do not become more polluted and damaged in our increasingly polluted world. This project is aimed to detect recyclable objects such as cardboard, paper, plastic, and metal with the help of artificial intelligence and to f…

This repository contains a Python project that uses YOLOv8, Roboflow and OpenCV to detect car parking slot occupancy in real time.

This is a tool for editors that automatically edits video game videos/clips pertaining to Fortnite, Apex Legends, Valorant, Call Of Duty, Overwatch, Minecraft, R6, PUBG, Destiny and Rocket League in order to make them into montages based off eliminations, knocks, wins, goals, or punches. It can also remove silent portions and add automatic captions

repo for versioning snippets that show how to use Roboflow APIs

This project demonstrates real-time drone detection using YOLOv5 and OpenCV. It detects drones in real-time and displays a warning when a drone is detected inside or near a defined rectangle.

It's a project to detect traffic cones and recognize the color of cones.

Pothole Detection using Ultralytics YOLOv8.

Official starter project for building iOS apps with Roboflow.

Audio visual mitigation of Rickrolls using computer vision.

Object detection inference with Roboflow Train models on NVIDIA Jetson devices.

Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟

This project demonstrates waste detection using a YOLOv8, StreamLit and RoboFlow

Deep Learning Detector for High Precision Monitoring of Cell Encapsulation Statistics in Microfluidic Droplets

ChartScanAI is an advanced app for detecting patterns in stock and cryptocurrency charts using deep learning and YOLOv8. It automates chart pattern recognition, providing traders with a powerful tool for making informed decisions. Key features include real-time analysis, high accuracy for Buy/Sell signals, and support for various charts.

Synthetic data for object detection and segmentation

This repository contains Jupyter Notebooks for training the YOLO11 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.