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Welcome to Ultralytics Notebooks! This repository provides ready-to-use Google Colab notebooks that streamline the testing and execution of computer vision projects using Ultralytics YOLO models. These resources make it easy to set up environments, run models quickly, and experiment with various features offered by the Ultralytics ecosystem, including training, validation, inference, and export, often integrated with tools like Ultralytics HUB.
Title and Documentation | Google Colab | YouTube Video | Discussion / Research Paper |
---|---|---|---|
Detect, Segment, Classify, Pose using Ultralytics YOLO | ![]() |
Learn about Ultralytics tasks, including object detection, segmentation, and more. ๐ | |
Car Parts Segmentation using Ultralytics YOLO | ![]() |
Share your insights on car part segmentation in manufacturing. ๐ | |
Ultralytics YOLO with SAHI Tiled Inference | ![]() |
Learn how Sliced Inference for Object Detection can enhance accuracy and results. ๐ | |
Medical Pills Detection using Ultralytics YOLO | ![]() |
Discuss the impact of pill detection on the pharmaceutical sector. ๐ | |
Brain Tumor Detection using Ultralytics YOLO | ![]() |
Discover brain tumor research in the medical field. ๐ง | |
Object Counting using Ultralytics YOLO | ![]() |
Explore practical applications of object counting in various industries. ๐ข | |
Google Gemini Model for Object Detection, Image Captioning and OCR with Ultralytics Utilities | Coming soon | Read the Google blog for more details on Gemini models! ๐ | |
Automatic Number Plate Recognition with Ultralytics YOLO and OpenAI GPT-4o | Coming soon | Check out the Ultralytics discussion section for more information on ANPR. ๐ | |
Microsoft Florence-2 for Object Detection, Image Captioning, OCR and Segmentation with Ultralytics Package | Coming soon | Check out the Florence-2 research paper for more details! ๐ | |
Generate Heatmaps using Ultralytics YOLO | ![]() |
Share your thoughts on using heatmaps for retail analytics. ๐๏ธ | |
Monitor Your Workouts using Ultralytics YOLO | ![]() |
Contribute ideas on computer vision for fitness tracking and pose estimation. ๐๏ธ | |
Package Segmentation using Ultralytics YOLO | ![]() |
Share your ideas for advancing computer vision in logistics and manufacturing. ๐ฆ | |
Track Objects in a Zone using Ultralytics YOLO | ![]() |
Join the conversation on tracking objects within specific zones using computer vision. ๐ฏ | |
Inference using SAM and SAM2 with Ultralytics | ![]() |
Find more information about Meta's Segment Anything Model (SAM). โจ | |
Crack Segmentation using Ultralytics YOLO | ![]() |
Get more insights about the crack segmentation dataset and its applications. ๐งฑ |
Ultralytics thrives on community collaboration, and we deeply value your involvement in our open-source projects! We encourage you to explore our Contributing Guide for detailed insights on how you can participate. Please share your feedback with us by contributing to our Survey. A heartfelt thank you ๐ goes out to everyone who has already contributed!
Ultralytics offers two distinct licensing options to accommodate various use cases:
- AGPL-3.0 License: This official OSI-approved open-source license is ideal for students, enthusiasts, and researchers who value open collaboration and knowledge sharing. See the LICENSE file for details.
- Enterprise License: Designed for commercial use, this license permits the seamless integration of Ultralytics software and AI models into commercial products and services, bypassing the open-source requirements of AGPL-3.0. If your scenario involves commercial deployment, please contact us through Ultralytics Licensing.
For bug reports or feature suggestions related to Ultralytics projects, please submit an issue via GitHub Issues. You are also welcome to join our Discord community for discussions, questions, and collaboration with other users and the Ultralytics team! For general inquiries, visit the Ultralytics website.