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Roboflow è un'organizzazione su GitHub con una presenza significativa, caratterizzata da una vasta gamma di progetti pubblici. I principali linguaggi utilizzati includono Python e JavaScript, con repository notabili come supervision e notebooks, che offrono strumenti di visione artificiale e tutorial avanzati. La loro attività è focalizzata sull'ottimizzazione dei modelli di visione artificiale e sull'implementazione di tecniche all'avanguardia.
We 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.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
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 already use.
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.
Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
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.
Convert VOC format XMLs to COCO format json
How to train an object detection model easy for free
A web utility to draw polygons and retrieve their coordinates for computer vision applications.
Take your LLM to the optometrist.
Example showing how to do inference on a video file with Roboflow Infer
A simple tool for automatic image annotation using Roboflow API
An extension of RF-DETR that unlocks larger, more powerful detection models for when you need the highest possible accuracy.
Nessuna descrizione fornita per questo repository.
Build an in-browser model experience like the one on the Roboflow homepage.
A computer vision powered Blackjack basic strategy app powered by Roboflow.
Interface with the Roboflow API and Python package for running inference (receiving predictions) and customizing result images from your Roboflow Train computer vision models.
Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)
Passively collect images for computer vision datasets on the edge.
Monitor the performance of OpenAI's GPT O3 Mini model over time.
Article about deploying machine learning models using grpc, pytorch and asyncio
Nessuna descrizione fornita per questo repository.
Use Supabase as a drop-in replacement for Firebase
Start using computer vision in two minutes with our interactive Python notebook experience.
Flask-based web application designed to compare text and image embeddings using the CLIP model.
repo for versioning snippets that show how to use Roboflow APIs
Templates for computer vision projects, referenced in Roboflow blog posts.
Official starter project for building iOS apps with Roboflow.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.
⭐ Star-Track is a user-friendly utility for tracking GitHub repository statistics
Nessuna descrizione fornita per questo repository.
The repository provides code for running inference with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Audio visual mitigation of Rickrolls using computer vision.
RTSP streaming using GStreamer
Synthetic data for object detection and segmentation
Nessuna descrizione fornita per questo repository.
This is a public repo for the Roboflow OBS Gesture Controller. The gesture controller currently responds to four gestures, "Up", "Down", "Stop", and "Grab". Performing these gestures will allow you to transition scenes and grab source objects inside of OBS.
Agent-ready Skills for Roboflow and Computer Vision workflows
Simple CogVLM client script
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.
react starter app for roboflow inference
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
Command Line Interface for Roboflow
Roboflow CLI and API module for node
Demo of Annotators through Gradio
Deploy a YOLOv8 model (ONNX format) to an Amazon SageMaker endpoint for serving inference requests using ONNXRuntime
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
roboflow-100-3d-website
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Generating 1k images using Stable Diffusion and uploading them into your Roboflow project
“YOLOLite — lightweight YOLO in PyTorch. ONNX export + CPU inference (Raspberry Pi friendly).” Forked from https://github.com/Lillthorin/YoloLite-Official-Repo
Roboflow SXSW Scavenger Hunt game.
Supervision cheatsheet website, coded up in Svelte
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
Code for Roboflow's How to Create a Synthetic Dataset tutorial.
Nessuna descrizione fornita per questo repository.
Streamlit App for Blood Cell Count Dataset
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NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Lenny uses 500+ blog posts, 100+ docs pages, and Roboflow developer documentation to answer questions about computer vision and Roboflow.
Nessuna descrizione fornita per questo repository.
YOLOv12: Attention-Centric Real-Time Object Detectors
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
Tunnelmole - Connect to local servers from anywhere
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
Pretrained models for TensorFlow.js
WebRTC and ORTC implementation for Python using asyncio
Sign In With Roboflow (SIWF) Example Application
Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
Nessuna descrizione fornita per questo repository.
Roboflow fork of fickle - load pickled data as safely as possible
Nessuna descrizione fornita per questo repository.
The official python wrapper for the pylon Camera Software Suite
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's
A conda-smithy repository for supervision.
A conda-smithy repository for rfdetr.
ESP32 server and linear actuator logic for automated door closing tool
Sam3D_Objects for Roboflow Inference
Nessuna descrizione fornita per questo repository.
A patching tool to remove the numpy<2 constraint from official mediapipe wheels.
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Nessuna descrizione fornita per questo repository.
Python client library for Modal
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A WebGL accelerated JavaScript library for training and deploying ML models.
Roboflow sviluppa strumenti e modelli per la visione artificiale, tra cui il repository supervision per strumenti riutilizzabili e notebooks, che offre tutorial sui modelli di visione artificiale all'avanguardia.
Roboflow utilizza principalmente Python, JavaScript, Jupyter Notebook, TypeScript, Swift e HTML per i suoi progetti, permettendo una grande varietà di implementazioni nel campo della visione artificiale.
Sì, tutti i repository di roboflow sono pubblici su GitHub, consentendo a chiunque di esplorare e contribuire ai loro progetti, che spaziano da modelli di rilevamento oggetti a risorse per esperimenti con le API di visione di OpenAI.
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