YOLOv11 License Plate Detection This is a fine tuned version of YOLOv11 (n, s, m, l, x) specialized for License Plate Detection , using a public dataset from Roboflow Universe: License Plate Recognition Dataset (10,125 images) ⚠️ Important Notice: Dataset Contamination The upstream Roboflow dataset ( license plate recognition rxg4e ) contains train/test contamination — the same source images appear in both the training and test splits with only minor manual augmentation applied (see Discussion 2 for concrete examples). As a result: The reported metrics below are likely overestimated , because the test set is not a true held out evaluation. Real world generalization performance is expected to be lower than the numbers in the table. Treat all evaluation figures with caution and validate the model on your own held out data before production use. A clean re split with perceptual hash deduplication, group aware splitting, and a re trained v2 release with honest metrics is planned. See Roadmap below. 🚀 Use Cases Smart Parking Systems Tollgate / Access Control Automation Traffic Surveillance & Enforcement ALPR with OCR Integration 🏋️ Training Details Base Model: YOLOv11 ( n , s , m , l…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy