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smoking-detection-finetuned
Beehzod/smoking-detection-finetuned
smoking-detection-finetuned is a object detection model from Beehzod. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
Fine-tuned from Enos-123/smoking-detection (YOLOv11-Medium) using Ultralytics.
All-time downloads
402
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Repo size
40.5 MB
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Repo makeup
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.pt40.5 MB · 100%
At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- d81c4396
Base models
Model card
From the Hugging Face model README
smoking-detection-finetuned
Fine-tuned from Enos-123/smoking-detection (YOLOv11-Medium) using Ultralytics.
Classes
cigarette
Dataset
- Source: xu-wei/cigarette-all (version 1)
- Images: 1613 train / 203 valid / 201 test
- Check the dataset page above for its license -- not necessarily the same as this repo's
licensefield, which reflects the base model's license.
Training
| Parameter | Value |
|---|---|
| Base checkpoint | Enos-123/smoking-detection |
| Epochs | 100 |
| Image size | 640 |
| Batch size | 18 |
| Optimizer | AdamW |
| Initial LR (lr0) | 0.001 |
| Patience (early stop) | 20 |
Results (held-out validation split)
| Metric | Value |
|---|---|
| mAP50 | 0.8698 |
| mAP50-95 | 0.5886 |
| Precision | 0.9432 |
| Recall | 0.7957 |
Usage
from ultralytics import YOLO
model = YOLO("best.pt")
results = model.predict("image.jpg", conf=0.25)
for r in results:
for box in r.boxes:
print(model.names[int(box.cls[0])], float(box.conf[0]))
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026