The PPE object detection model is based on the highly effective SSD Mobilenet v2 architecture and has been expertly fine-tuned on a comprehensive PPE object detection dataset. This approach ensures the model provides precise and dependable predictions in various environments and conditions.

The intended use of our PPE object detection model is to assist human operators in identifying potential safety hazards and ensuring compliance with PPE regulations. However, it is essential to note that the model should not be solely relied upon for decision-making in critical applications. A representative test data set must be carefully evaluated to understand the model’s performance, limitations, and potential biases before deploying it in a real-world application. It is also essential to implement appropriate safety measures to mitigate potential risks associated with using the model.