👋 hello

Over the years we have created dozens of Computer Vision tutorials. This repository contains Jupyter Notebooks that we've featured in our blog posts and YouTube videos. Please keep in mind that repository is still under construction 🚧 In the meantime, you can find a full list of our tutorials here.

🚀 model tutorials

notebook	open in colab / kaggle / sagemaker studio lab	complementary materials	repository / paper
Segment Anything Model
Zero-Shot Object Detection with Grounding DINO
DETR Transformer PyTorch Object Detection
YOLOv8 PyTorch Object Detection
YOLOv8 PyTorch Instance Segmentation
YOLOv8 PyTorch Classification
YOLOv7 PyTorch Object Detection
YOLOv7 PyTorch Instance Segmentation
YOLOv7 PyTorch Object Detection OpenVINO + TorchORT
MT-YOLOv6 PyTorch Object Detection
YOLOv5 PyTorch Object Detection
YOLOv5 PyTorch Classification
YOLOv5 PyTorch Instance Segmentation
Detection2 PyTorch Instance Segmentation
SegFormer PyTorch Instance Segmentation
Vision Transformer PyTorch Classification
Scaled-YOLOv4 PyTorch Object Detection
YOLOS PyTorch Object Detection
YOLOR PyTorch Object Detection
YOLOX PyTorch Object Detection
Resnet34 fast.ai Classification
OpenAI Clip PyTorch Classification
YOLOv4-tiny Darknet Object Detection

📸 computer vision skills

notebook	open in colab / kaggle / sagemaker studio lab	complementary materials	repository / paper
Automated Dataset Annotation and Evaluation with Grounding DINO and SAM
Automated Dataset Annotation and Evaluation with Grounding DINO
Vector Analysis with Scikit-learn and Bokeh
RF100 Object Detection Model Benchmarking
Detect and Count Objects in Polygon Zone with YOLOv5 / YOLOv8 / Detectron2 + Supervision
Track and Count Vehicles with YOLOv8 + ByteTRACK + Supervision
Football Players Tracking with YOLOv5 + ByteTRACK
Create Segmentation Masks with Roboflow
How to Use PolygonZone and Roboflow Supervision

🎬 videos

Almost every week we create tutorials showing you the hottest models in Computer Vision. 🔥 Subscribe, and stay up to date with our latest YouTube videos!

💻 run locally

We try to make it as easy as possible to run Roboflow Notebooks in Colab and Kaggle, but if you still want to run them locally, below you will find instructions on how to do it. Remember don't install your dependencies globally, use venv.

# clone repository and navigate to root directory
git clone git@github.com:roboflow-ai/notebooks.git
cd notebooks

# setup python environment and activate it
python3 -m venv venv
source venv/bin/activate

# install and run jupyter notebook
pip install notebook
jupyter notebook

☁️ run in sagemaker studio lab

You can now open our tutorial notebooks in Amazon SageMaker Studio Lab - a free machine learning development environment that provides the compute, storage, and security—all at no cost—for anyone to learn and experiment with ML.

Stable Diffusion Image Generation	YOLOv5 Custom Dataset Training	YOLOv7 Custom Dataset Training

🐞 bugs & 🦸 contribution

Computer Vision moves fast! Sometimes our notebooks lag a tad behind the ever-pushing forward libraries. If you notice that any of the notebooks is not working properly, create a bug report and let us know.

If you have an idea for a new tutorial we should do, create a feature request. We are constantly looking for new ideas. If you feel up to the task and want to create a tutorial yourself, please take a peek at our contribution guide. There you can find all the information you need.

We are here for you, so don't hesitate to reach out.