morsetechlab/yolov11-license-plate-detection
object-detection model by morsetechlab
From the publisher
Model card & documentation
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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) 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…
Read the full model card ↗ · Preview checked 2026-10-28T04:10:51.499Z
Inside the original model card — Document outline
- YOLOv11-License-Plate Detection
- ⚠️ Important Notice: Dataset Contamination
- 🚀 Use Cases
- 🏋️ Training Details
- 📊 Evaluation Metrics (YOLOv11x)
- 🐛 Known Limitations
- 🗺️ Roadmap (v2)
- 📦 Model Variants
- 🧠 How to Use
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Documentation belongs to its respective authors. Reported project/model license: agpl-3.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
morsetechlab/yolov11-license-plate-detection is a object-detection model repository published by morsetechlab on Hugging Face. The source reports the ultralytics library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- ultralytics
- Recent downloads (30 days)
- 77,324
- Cumulative likes
- 46
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2025-05-03T01:35:50.000Z
- Last modified
- 2026-05-14T03:13:30.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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