Enos-123/traffic-accident-detection-yolo11x
object-detection model by Enos-123
From the publisher
Model card & documentation
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This model is a fine-tuned version of the YOLOv11x object detection model, specialized for traffic accident detection using real-world surveillance data. It can detect and localize two main object categories: accident and vehicle in images or video frames. This model can be directly used for:…
Read the full model card ↗ · Preview checked 2026-11-07T07:04:27.128Z
Inside the original model card — Document outline
- Model Card for traffic-accident-detection-yolo11x
- Model Details
- Model Description
- Uses
- Direct Use
- Out-of-Scope Use
- How to Get Started with the Model
- Training Details
- Training Data
- Training Hyperparameters
- Evaluation
- Metrics
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Enos-123/traffic-accident-detection-yolo11x is a object-detection model repository published by Enos-123 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)
- 4,904
- Cumulative likes
- 15
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-06-25T07:19:22.000Z
- Last modified
- 2025-06-25T09:43:19.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Ultralytics/YOLO11
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 2026-11-07T06:58:36.300Z. 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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