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Beehzod/yolov26-fire-smoke-detection

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face

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Model Card

yolov26-fire-smoke-detection

Fine-tuned from `yolov26-fire-detection` (YOLOv26-S) using Ultralytics.

Classes

—Fire
—Smoke

Dataset

—Images: 7673 train / 925 valid / 960 test
—Check the dataset page above for its license -- not necessarily the same as this repo's license field, 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

python

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]))