Daria Chuprina

CV-robotflow

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.

1
0
1
public
Forked
View on GitHubWebsite

👋 hello

This repository offers a growing collection of computer vision tutorials. Learn to use SOTA models like YOLOv11, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5-VL for tasks ranging from object detection, segmentation, and pose estimation to data extraction and OCR. Dive in and explore the exciting world of computer vision!

🚀 model tutorials (60 notebooks)

notebook open in colab / kaggle / sagemaker studio lab complementary materials repository / paper
Object Detection with Google Gemini 3.5 Flash Colab Kaggle
How to Perform OCR with GLM-OCR Colab Kaggle YouTube GitHub arXiv
How to Track Objects with RF-DETR and ByteTrack Tracker Colab Kaggle YouTube GitHub arXiv
Fine-Tune YOLO26 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLO26 on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub
Segment Images with SAM3 Colab Kaggle Roboflow YouTube GitHub arXiv
Segment Videos with SAM3 Colab Kaggle Roboflow YouTube GitHub arXiv
Open Vocabulary Object Detection with Qwen3-VL Colab Kaggle GitHub
Fine-Tune RF-DETR Segmentation on Custom Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Zero-Shot Object Detection and Segmentation with Google Gemini 2.5 Colab Kaggle Roboflow arXiv
Fine-Tune RF-DETR on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Zero-Shot Object Detection and Segmentation with YOLOE Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv12 on Object Detection Dataset Colab Kaggle Roboflow GitHub arXiv
Zero-Shot Object Detection with Qwen2.5-VL Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune Qwen2.5-VL for JSON Data Extraction Colab Kaggle YouTube GitHub arXiv
Fine-Tune PaliGemma2 on Object Detection Dataset Colab Kaggle Roboflow GitHub arXiv
Fine-Tune PaliGemma2 for JSON Data Extraction Colab Kaggle Roboflow GitHub arXiv
Fine-Tune PaliGemma2 for LaTeX OCR Colab Kaggle Roboflow GitHub arXiv
Fine-Tune SAM-2.1 Colab Kaggle Roboflow YouTube GitHub
Fine-Tune GPT-4o on Object Detection Dataset Colab Kaggle Roboflow YouTube
Fine-Tune YOLO11 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLO11 on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub
Segment Images with SAM2 Colab Kaggle Roboflow YouTube GitHub arXiv
Segment Videos with SAM2 Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune RT-DETR on Object Detection Dataset Colab Kaggle Roboflow GitHub arXiv
Fine-Tune Florence-2 on Object Detection Dataset Colab Kaggle Roboflow YouTube arXiv
Run Different Vision Tasks with Florence-2 Colab Kaggle Roboflow YouTube arXiv
Fine-Tune PaliGemma on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv10 on Object Detection Dataset Colab Kaggle Roboflow GitHub arXiv
Zero-Shot Object Detection with YOLO-World Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv9 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune RTMDet on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Segment Images with FastSAM Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLO-NAS on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub
Segment Images with Segment Anything Model (SAM) Colab Kaggle Roboflow YouTube GitHub arXiv
Zero-Shot Object Detection with Grounding DINO Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune DETR Transformer on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Classify Images with DINOv2 Colab Kaggle Roboflow GitHub arXiv
Fine-Tune YOLOv8 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLOv8 on Pose Estimation Dataset Colab Kaggle Roboflow GitHub
Fine-Tune YOLOv8 on Oriented Bounding Boxes (OBB) Dataset Colab Kaggle Roboflow GitHub
Fine-Tune YOLOv8 on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLOv8 on Classification Dataset Colab Kaggle Roboflow GitHub
Fine-Tune YOLOv7 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv7 on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune MT-YOLOv6 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv5 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLOv5 on Classification Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune YOLOv5 on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub
Fine-Tune Faster RCNN on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune SegFormer on Instance Segmentation Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune ViT on Classification Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune Scaled-YOLOv4 on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOS on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOR on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOX on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune ResNet34 on Classification Dataset Colab Kaggle Roboflow YouTube
Image Classification with OpenAI Clip Colab Kaggle Roboflow YouTube GitHub arXiv
Fine-Tune YOLOv4-tiny Darknet on Object Detection Dataset Colab Kaggle Roboflow YouTube GitHub arXiv
Train a YOLOv8 Classification Model with No Labeling Colab Kaggle Roboflow GitHub

📍 tracker tutorials (3 notebooks)

notebook open in colab / kaggle / sagemaker studio lab complementary materials repository / paper
How to Track Objects with RF-DETR and ByteTrack Tracker Colab Kaggle YouTube GitHub arXiv
How to Track Objects with RF-DETR and SORT Tracker Colab Kaggle YouTube GitHub arXiv
How to Track Objects with RF-DETR and OC-SORT Tracker Colab Kaggle YouTube GitHub arXiv

🛠️ computer vision skills (23 notebooks)

notebook open in colab / kaggle / sagemaker studio lab complementary materials repository / paper
Basketball AI: Detect NBA 3 Second Violation Colab Kaggle Roboflow
Basketball AI: How to Detect Track and Identify Basketball Players Colab Kaggle Roboflow YouTube
Football AI Colab Kaggle Roboflow YouTube GitHub
Auto-Annotate Dataset with GroundedSAM 2 Colab Kaggle Roboflow GitHub
Run YOLOv7 Object Detection with OpenVINO + TorchORT Colab Kaggle Roboflow GitHub arXiv
Estimate Vehicle Speed with YOLOv8 Colab Kaggle Roboflow YouTube GitHub
Detect and Count Objects in Polygon Zone with YOLOv5 / YOLOv8 / Detectron2 + Supervision Colab Kaggle Roboflow YouTube GitHub
Track and Count Vehicles with YOLOv8 + ByteTRACK + Supervision Colab Kaggle Roboflow YouTube GitHub arXiv
Football Players Tracking with YOLOv5 + ByteTRACK Colab Kaggle Roboflow YouTube GitHub arXiv
Auto Train YOLOv8 Model with Autodistill Colab Kaggle Roboflow YouTube GitHub
Image Embeddings Analysis - Part 1 Colab Kaggle YouTube GitHub arXiv
Automated Dataset Annotation and Evaluation with Grounding DINO and SAM Colab Kaggle Roboflow YouTube GitHub arXiv
Automated Dataset Annotation and Evaluation with Grounding DINO Colab Kaggle YouTube GitHub arXiv
Roboflow Video Inference with Custom Annotators Colab Kaggle Roboflow GitHub
DINO-GPT-4V Object Detection Colab Kaggle Roboflow
Train a Segmentation Model with No Labeling Colab Kaggle Roboflow GitHub
DINOv2 Image Retrieval Colab Kaggle GitHub arXiv
Vector Analysis with Scikit-learn and Bokeh Colab Kaggle Roboflow
RF100 Object Detection Model Benchmarking Colab Kaggle Roboflow YouTube GitHub arXiv
Create Segmentation Masks with Roboflow Colab Kaggle Roboflow
How to Use PolygonZone and Roboflow Supervision Colab Kaggle Roboflow
Train a Package Detector With Two Labeled Images Colab Kaggle Roboflow GitHub
Image-to-Image Search with CLIP and faiss Colab Kaggle Roboflow

🎬 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!

How to Choose the Best Computer Vision Model for Your Project How to Choose the Best Computer Vision Model for Your Project

Created: 26 May 2023 | Updated: 26 May 2023

In this video, we will dive into the complexity of choosing the right computer vision model for your unique project. From the importance of high-quality datasets to hardware considerations, interoperability, benchmarking, and licensing issues, this video covers it all...


Accelerate Image Annotation with SAM and Grounding DINO Accelerate Image Annotation with SAM and Grounding DINO

Created: 20 Apr 2023 | Updated: 20 Apr 2023

Discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model (SAM). Learn how to convert object detection datasets into instance segmentation datasets, and see the potential of using these models to automatically annotate your datasets for real-time detectors like YOLOv8...


SAM - Segment Anything Model by Meta AI: Complete Guide SAM - Segment Anything Model by Meta AI: Complete Guide

Created: 11 Apr 2023 | Updated: 11 Apr 2023


Discover the incredible potential of Meta AI’s Segment Anything Model (SAM)! We dive into SAM, an efficient and promptable model for image segmentation, which has revolutionized computer vision tasks. With over 1 billion masks on 11M licensed and privacy-respecting images, SAM’s zero-shot performance is often superior to prior fully supervised results…

💻 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
SageMaker SageMaker SageMaker

🐞 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.

v0.3.3[beta]