PATENT CLAIM ANALYSIS

Application Number: 16442365
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["382", "156000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using an image processing neural network system. One of the systems includes a domain transformation neural network implemented by one or more computers, wherein the domain transformation neural network is configured to: receive an input image from a source domain; and process a network input comprising the input image from the source domain to generate a transformed image that is a transformation of the input image from the source domain to a target domain that is different from the source domain.

Claim (Index 9):
A system comprising:\n a domain transformation neural network implemented by one or more computers, wherein the domain transformation neural network is configured to:\n receive an input image from a source domain, wherein the source domain is images of a simulation of a real-world environment; and \n process a network input comprising the input image from the source domain to generate a transformed image that is a transformation of the input image from the source domain to a target domain, wherein the target domain is images of the real-world environment.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 100.0
- Lexical Diversity: 2.01923
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15633288', '15166164', '15705151', '15179403', '15850007']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.339484484521067
- 35 USC 102 Novelty (BERT): 0.499578741964858
- Combined Prediction Score: 0.3554939102654461
- Mean Citation Score: 246.03973800000003
- Max Citation Score: 255.61539
- Similarity Product: 183.42164767117023

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