Popular GitHub Repositories for Roboflow

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

Applying Deep Learning Approaches to Volleyball Data

Pothole Detection using Ultralytics YOLOv8.

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

YOLOv10: Real-Time Fire and Smoke Detection

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

Synthetic data for object detection and segmentation

YOLOv8: Garbage Overflow Detection on a Custom Dataset | Real-Time Detection with Flask Web App

This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.

?️ Structural Defect Detection

Detect and Segment Oil Spills Using Computer Vision

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

AnnotationParser is a universal Python library that parses annotation files from different formats (LabelMe, COCO, VOC, etc.) into a single unified Shape data structure. This allows you to work with annotations using a consistent interface, regardless of the original format.

Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.

An AI-powered platform for detecting dental conditions in X-ray images using computer vision and DICOM processing

CSOD is an advanced computer vision project that uses the YOLOv5 model, fine-tuned on thousands of images, to detect safety hazards on construction sites in real-time. This technology helps identify potential dangers like missing helmets or safety vests, ensuring a safer work environment for everyone on site.

This repo contains codes to fine tune yolon11 and with bccd dataset for RBC, WBC and Platelets cell object detection

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

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.