googlenet-v3 model is the first of the Inception family of models designed to perform image classification. For details about this family of models, check out the paper.
input, shape: [1x299x299x3], format: [BxHxWxC], where:
Expected color order: RGB. Mean values: [127.5, 127.5, 127.5], scale factor for each channel: 127.5
input, shape: [1x3x299x299], format: [BxCxHxW], where:
Expected color order: BGR.
Object classifier according to ImageNet classes, name:
InceptionV3/Predictions/Softmax, shape: [1,1001] in [BxC] format, where:
- B - batch size - C - vector of probabilities for all dataset classes (0 class is background). Probabilities are represented in logits format.