PATENT CLAIM ANALYSIS

Application Number: 16007629
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["382", "156000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing object sub-types in images. One of the methods includes receiving training data; selecting training data for an image; determining whether to randomly permute a value of a property of the selected image; providing, to a deep neural network, the particular training data or the randomly permuted particular training data; receiving, from the deep neural network, output data indicating a predicted label for an object sub-type for an object depicted in the selected image, and a confidence score that represents a likelihood that the object has the object sub-type; updating one or more weights in the deep neural network using an expected output value, the predicted label, and the confidence score; and providing the deep neural network to a mobile device for use detecting whether one or more images depict objects having the particular object sub-type.

Claim (Index 30):
The computer storage medium of  claim 24 , the operations comprising:\n determining a stock of one or more objects from the plurality of objects using one or more object sub-type labels, the object location data, or both; and determining, using the stock of the one or more objects, a quantity of objects to request for delivery to a physical location that includes an area depicted in the image.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.30137
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15692180', '14821128', '14528815', '15643453', '15001417']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3154766688830839
- 35 USC 102 Novelty (BERT): 0.5302119167506387
- Combined Prediction Score: 0.3369501936698393
- Mean Citation Score: 238.63362200000003
- Max Citation Score: 358.05542
- Similarity Product: 234.25311524962905

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test