🚀 New Tutorial: Automatic Number Plate Recognition (ANPR) with YOLOv11 + GPT-4o-mini!


This hands-on tutorial shows you how to combine the real-time detection power of YOLOv11 with the language understanding of GPT-4o-mini to build a smart, high-accuracy ANPR system! From setup to smart prompt engineering, everything is covered step-by-step. 🚗💡

🎯 Key Highlights:
✅ YOLOv11 + GPT-4o-mini = High-precision number plate recognition
✅ Real-time video processing in Google Colab
✅ Smart prompt engineering for enhanced OCR performance

📢 A must-watch if you're into computer vision, deep learning, or OpenAI integrations!


🔗 Colab Notebook
▶️ Watch on YouTube


#YOLOv11 #GPT4o #OpenAI #ANPR #OCR #ComputerVision #DeepLearning #AI #DataScience #Python #Ultralytics #MachineLearning #Colab #NumberPlateRecognition

🔍 By : https://yangx.top/DataScienceN

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🚀 Highlighting the latest strides in football field analysis using computer vision, this post shares a single frame from our video that demonstrates how homography and keypoint detection combine to produce precise minimap overlays. 🧠🎯

🧩 At the heart of this project lies the refinement of field keypoint extraction. Our experiments show a clear link between both the number and accuracy of detected keypoints and the overall quality of the minimap. 🗺️
📊 Enhanced keypoint precision leads to a more reliable homography transformation, resulting in a richer, more accurate tactical view. ⚙️⚡

🏆 For this work, we leveraged the championship-winning keypoint detection model from the SoccerNet Calibration Challenge:

📈 Implementing and evaluating this state‑of‑the‑art solution has deepened our appreciation for keypoint‑driven approaches in sports analytics. 📹📌

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📡 By: https://yangx.top/DataScienceN


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🎯 Trackers Library is Officially Released! 🚀

If you're working in computer vision and object tracking, this one's for you!

💡 Trackers is a powerful open-source library with support for a wide range of detection models and tracking algorithms:

✅ Plug-and-play compatibility with detection models from:
Roboflow Inference, Hugging Face Transformers, Ultralytics, MMDetection, and more!

✅ Tracking algorithms supported:
SORT, DeepSORT, and advanced trackers like StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT – with even more coming soon!

🧩 Released under the permissive Apache 2.0 license – free for everyone to use and contribute.

👏 Huge thanks to Piotr Skalski for co-developing this library, and to Raif Olson and Onuralp SEZER for their outstanding contributions!

📌 Links:
🔗 GitHub
🔗 Docs


📚 Quick-start notebooks for SORT and DeepSORT are linked 👇🏻
https://www.linkedin.com/posts/skalskip92_trackers-library-is-out-plugandplay-activity-7321128111503253504-3U6-?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEXwhVcBcv2n3wq8JzEai3TfWmKLRLTefYo


#ComputerVision #ObjectTracking #OpenSource #DeepLearning #AI


📡 By: https://yangx.top/DataScienceN

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