roboflow

We write your reusable computer vision tools. 💜

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM...

computer vision and sports

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you...

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

Turn any computer or edge device into a command center for your computer vision projects.

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

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

Detect objects in drone videos and plot them on a map

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

webcamGPT - chat with video stream 💬 + 📸

A catalog of naturally occurring images whose Apple NeuralHash is identical.

Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"

A template repo holding our common setup for a python project

Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.

A web utility to draw polygons and retrieve their coordinates for computer vision applications.

An extension of RF-DETR that unlocks larger, more powerful detection models for when you need the highest possible accuracy.

Agent-ready Skills for Roboflow and Computer Vision workflows