roboflow

Detect objects in drone videos and plot them on a map

Applying Deep Learning Approaches to Volleyball Data

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.

Monitoring platform for ML teams building real‑world AI at scale.

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Segmentation models

Run RF-DETR on NVIDIA DeepStream

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

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.

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

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

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

Pothole Detection using Ultralytics YOLOv8.

Modular CLI pipeline for fine‑tuning RF‑DETR object detection models on custom datasets.

A computer vision-based project that uses YOLOv8 to detect and classify plant leaves in real time, helping identify healthy and diseased plants efficiently to support smart agriculture solutions.

YOLOv10: Real-Time Fire and Smoke Detection

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

Object detection using Yolov5

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

End-to-end YOLOv8 PPE detection for construction-site safety. Includes Jupyter training notebooks, pretrained weights, dataset (Roboflow), inference/testing scripts, and a Flask web dashboard for real-time monitoring and compliance reporting.

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