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fire-smoke-yolov8n

rabahdev / fire-smoke-yolov8n

Run on huggingface.co

huggingface.co

Total runs: 2.0K

24-hour runs: 0

7-day runs: 73

30-day runs: -93

Model's Last Updated: June 08 2026

object-detection

Introduction of fire-smoke-yolov8n

Model Details of fire-smoke-yolov8n

YOLOv8n — Fire & Smoke Detector (D-Fire fine-tune)

YOLOv8n fine-tuned on the D-Fire dataset for detecting smoke and fire in images.

Classes

0 — smoke
1 — fire

Files

best.pt — fine-tuned weights (use this)
last.pt — final-epoch weights

Results (test split, 4,306 images)

Metric	All	Smoke	Fire
mAP50	0.754	—	—
mAP50-95	0.430	0.499	0.362
Precision	0.766	—	—
Recall	0.688	—	—

Training config

Base: yolov8n.pt (COCO pretrained)
Epochs: 50, image size: 640, batch: 16
Optimizer: MuSGD (auto), lr0=0.01
Device: Apple MPS

Usage

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

ckpt = hf_hub_download(repo_id="rabahdev/fire-smoke-yolov8n", filename="best.pt")
model = YOLO(ckpt)
results = model("image.jpg")
results[0].show()

Dataset

D-Fire (smoke + fire detection), YOLO format
Train: 14,122 — Val: 3,099 — Test: 4,306

License

AGPL-3.0 (inherited from Ultralytics YOLOv8).

Runs of rabahdev fire-smoke-yolov8n on huggingface.co

2.0K

Total runs

24-hour runs

3-day runs

7-day runs

-93

30-day runs

More Information About fire-smoke-yolov8n huggingface.co Model

More fire-smoke-yolov8n license Visit here:

https://choosealicense.com/licenses/agpl-3.0

fire-smoke-yolov8n huggingface.co

fire-smoke-yolov8n huggingface.co is an AI model on huggingface.co that provides fire-smoke-yolov8n's model effect (), which can be used instantly with this rabahdev fire-smoke-yolov8n model. huggingface.co supports a free trial of the fire-smoke-yolov8n model, and also provides paid use of the fire-smoke-yolov8n. Support call fire-smoke-yolov8n model through api, including Node.js, Python, http.

fire-smoke-yolov8n huggingface.co Url

https://huggingface.co/rabahdev/fire-smoke-yolov8n