Supported content types: image/jpeg

This model accepts images in the mime-type specified above.

The image must be at least 320x320. The model resizes the image to 640x640 before performing the inference. Better results are achieved with 16:9 image proportions.

Content type: text/json

For every image, the model returns a single JSON file with all the detections.

The model returns JSON object, that includes an array with individual elements for each person detected. Each element has two attributes:

1. box_points: includes the bounding box around the detected person. Each bounding box consists of four numbers in [X1 Y1 X2 Y2] format in the source image coordinates.
2. classes: tuple (class name, confidence) that represent the probability score that the person in this bounding box does not wear a “class” object. Probability is given in percentages (0..100 range) Supported classes are: “no_gloves”, “no_glasses”, “no_mask”, “no_coat”

Prediction method takes no additional parameters.

We recommend using this model for real-time inference for better utilization of the endpoint. Optionally, batch transform is also available.

You can find more details here: https://github.com/VITechLab/aws-sagemaker-examples/tree/master/Laboratory-PPE-Detector