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- RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
inference
PublicTurn any computer or edge device into a command center for your computer vision projects.supervision
PublicWe write your reusable computer vision tools. 💜- 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 3, and Qwen3-VL.
- A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
- The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
maestro
Publicstreamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL.github
Publictemplate-python
Public template- Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"
inference-sdk-js
Public- Take your LLM to the optometrist.
sam3
PublicinferenceSampleApp
PublicGroundingDINO
Publictdfy
Publicmodel-leaderboard-fork
Publicmediapipe-numpy2
PublicTFRecords
PublicTensorFlow record (.tfrecord) API for Node.JS and Browsersrf-100-vl-benchmark
Publicultralytics-openmv
Publicroboflow-swift
Publicserver-benchmark
PublicA script you can use to benchmark the Roboflow Deploy targets with your custom trained model on your hardware.modal-client
Publicfickle
Public