Object detection for personal protective equipments (PPE).
Detect if a person is wearing personal protective equipments (PPE) in real‑time. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset, but can be used on any image.
Inference latency:RealTime
Input resolution:320x192
Number of output classes:2
Number of parameters:6.19M
Model size (float):23.6 MB
Model size (w8a8):6.23 MB
Model size (w8a16):6.65 MB
Protective Gear Detection
Mask Detection
Source Model: BSD-3-CLAUSE
Deployable Model: AI-HUB-MODELS-LICENSE