RoyRud1902/yolo11n-text
object-detection model by RoyRud1902
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A fine-tuned YOLO11n model for detecting text regions in images. This model is optimized for detecting text bounding boxes in documents, screenshots, UI interfaces, and natural scene images. This model is based on Ultralytics YOLO11n (nano variant) and has been fine-tuned specifically for text detection…
Read the full model card ↗ · Preview checked 2026-10-28T05:41:04.685Z
Inside the original model card — Document outline
- YOLO11n Text
- Model Description
- Model Architecture
- Training Details
- Dataset
- Training Configuration
- Augmentation
- Hardware
- Performance Metrics
- Final Results (Epoch 50)
- Training Progress
- Usage
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
RoyRud1902/yolo11n-text is a object-detection model repository published by RoyRud1902 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)
- 4,438
- Cumulative likes
- 8
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- YOLO11n
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-12-22T17:29:53.000Z
- Last modified
- 2025-12-22T17:32:54.000Z
Compatibility and lineage
Language coverage was not reported.
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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