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.
notebook | open in colab / kaggle / sagemaker studio lab | complementary materials | repository / paper |
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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 |
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!
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
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 |
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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.