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yolov26-fire-smoke-detection
Beehzod/yolov26-fire-smoke-detection
yolov26-fire-smoke-detection 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 cc-by-4.0.
Fine-tuned from yolov26-fire-detection (YOLOv26-S) using Ultralytics.
All-time downloads
663
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Repo size
20.3 MB
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.pt20.3 MB · 100%
At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-4.0
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- 6443bc25
Base models
Model card
From the Hugging Face model README
yolov26-fire-smoke-detection
Fine-tuned from yolov26-fire-detection (YOLOv26-S) using Ultralytics.
Classes
FireSmoke
Dataset
- Images: 7673 train / 925 valid / 960 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 |
|---|---|
| Epochs | 100 |
| Image size | 640 |
| Batch size | 16 |
| Optimizer | AdamW |
| Initial LR (lr0) | 0.001 |
| Patience (early stop) | 20 |
Results (held-out validation split)
| Metric | Value |
|---|---|
| mAP50 | 0.9177 |
| mAP50-95 | 0.8299 |
| Precision | 0.9167 |
| Recall | 0.8958 |
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
- cc-by-4.0
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026