Explore Real-World Computer Vision Use Cases with Advanced AI Models

Discover real-world applications of computer vision across industries such as retail, transportation, healthcare, manufacturing, agriculture, and wildlife. Learn how cutting-edge AI models are used for object detection, image segmentation, object tracking, pose estimation, and more.

🚀 Discover cutting-edge computer vision use cases that are shaping the future of AI and innovation: https://visionusecases.com/ 🚀

Computer Vision Use Cases:

• Crowd density estimation using Ultralytics YOLO11🚶‍♂️: Learn more
• Generate accurate segmentation masks Using Object Detection and SAM2 Model: Read more
• Items segmentation and counting with Ultralytics YOLO11 ❤️‍🔥: Learn more
• Apples counting on conveyor belt: 🍎 Discover more |
• Items counting in shopping trolley: 🛒 Explore more |
• Bread counting on conveyor belt: 🍞 Find more |

Object Detection Use Cases:

• Waste Detection: 🚀
• Industrial Package Identification: 📦
• Crowd Density Estimation: 🚶‍♀️🚶‍♂️

Object Tracking Use Cases:

• Vehicle Tracking: 🚗

Pose Estimation Use Cases:

• Dog Pose Estimation: 🐾

How to Contribute 😊

1- ✅ Necessary: Ensure your use case is computer vision-based. It can belong to any computer vision task no restrictions! 🎉

2- ✅ Optional: For better user experience, upload a video of your implementation to YouTube and attach the URL for the community to watch. This step is optional, but highly encouraged!

3- ✅ Necessary: Create a documentation page for your use case.

• Include implementation details such as hardware configuration, model usage, code with step by step explanation and advantages.
• Place the file in the usecases folder.

4- ✅ Necessary: Update the mkdocs.yml file: Add the relevant path under the nav section to make your docs accessible.

🎉 Final Step: Once all the changes are done, open the PR and If everything will look good, I will merge your PR! 🥳