ATM Theft Detection YOLOv8 Model

This folder is intended to be pushed as a standalone Hugging Face model repository.

Model Summary

The model detects two classes for ATM monitoring:

  • Face_Covered
  • Face_Uncovered

Files

  • weights/best.pt: published YOLOv8 checkpoint
  • exports/best_full_integer_quant.tflite: optional quantized export copied from local training

Local Usage

from ultralytics import YOLO

model = YOLO("weights/best.pt")
results = model("example.jpg")

Source Workflow

The canonical local training flow lives in the root repository under training/. After training, push the latest model and Space snapshots with:

python scripts/push_hf.py
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