Documentation of output blob?

[samuelwhiskeyjohnson]

    modelFile = "res10_300x300_ssd_iter_140000_fp16.caffemodel"
    configFile = "deploy.prototxt"
    net = cv2.dnn.readNetFromCaffe(configFile, modelFile)
    blob = cv2.dnn.blobFromImage(frame, 1.0, (300, 300), [104, 117, 123], False, False)
    net.setInput(blob)
    detections = net.forward()

# detections.shape == (1, 1, 200, 7)
detections[a, b, c, d]

Is there official documentation that explains what a, b, c, d are?

For example, how would I know
detections[0, 0, 3, 2] is the 4th face's confidence level.

[dragonQian]

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