chocochip119/wardy-m05-hazard-detector

Wardy M05 Hazard Detector

A YOLO11n-based object detection model trained to detect potentially hazardous objects in indoor environments.

Classes

Model Details

• —Architecture: Ultralytics YOLO11n
• —Task: Object detection
• —Input size: 640 x 640
• —Weight format: PyTorch .pt
• —Dataset: chocochip119/hazard
• —Recommended weight: weights/best.pt

Versions

The metrics above are taken from the epoch with the highest validation mAP50-95 in each run. Direct comparison requires evaluation on the same fixed test set.

Usage

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

weight_path = hf_hub_download(
    repo_id="chocochip119/wardy-m05-hazard-detector",
    filename="weights/best.pt",
    revision="main",
)

model = YOLO(weight_path)
results = model.predict(
    source="example.jpg",
    imgsz=640,
    conf=0.25,
    save=True,
)

• —To load a specific release, replace main with a version tag such as hazard-objects-v2-finetune-v2.
• —Limitations
• —The model may produce false positives or miss hazardous objects.
• —Performance may decrease under poor lighting, occlusion, unusual camera angles, or unfamiliar environments.
• —The output should not be used as the sole basis for safety-critical decisions.
• —Additional validation and human review are required before real-world deployment.

License

A distribution license has not yet been specified. Verify the licenses and usage conditions of the model, base model, and training data before use or redistribution.