Applying Deep Learning Approaches to Volleyball Data

repo for versioning snippets that show how to use Roboflow APIs

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

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

Synthetic data for object detection and segmentation

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

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.

Surf crowd predictions

The Automated Attention Tracking and Reporting system is a sleek AI-driven dashboard that provides real-time monitoring and reporting of distraction levels during classes, meetings, or lectures. Utilizing advanced computer vision techniques to help educators and facilitators enhance focus and attention during sessions.

Object detection using Yolov5

This project is an example of YOLOv8-based NIKE brand logo detection package. It could be easily expanded and retrained on different brands.

Mashup Roboflow Object Detection with OCR to read license plates.

PointNet training with custom Intel RealSense L515 dataset, Detectron2 training with custom Roboflow dataset

Revolutionize egg grading with our app. Utilizing cutting-edge computer vision, it automates grading and crack detection, boosting accuracy and reducing labor costs.

How to Deploy your Computer Vision Models on Raspberry Pi using Roboflow Inference

Use models on Roboflow Universe to auto-label data for use in model training.

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

Two-Wheeler Traffic Rule Violation detection using computer vision and AI.

Recognize defects on ceramic tile images based on object detection, and object classification using Deep Learning YOLOv5 model.

A deep learning model to detect raccoons in images and videos using the YoloV8 object detection algorithm and the Roboflow platform for data preprocessing and training.