PATENT CLAIM ANALYSIS

Application Number: 16011359
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["345", "419000"]

Abstract:
The disclosure notably relates to a computer-implemented method for forming a dataset. The dataset is configured for learning a function. The function takes as inputs images of instances of one or more classes of real objects. The method comprises, for each class, providing a parametric model of the class, generating a plurality of 3D modeled objects with the parametric model, and adding to the dataset, for each one of the plurality of 3D modeled objects, one or more corresponding images. The generating includes traversing one or more of the set of ranges. The method constitutes an improved solution for forming a dataset configured for learning a function.

Claim (Index 6):
The method of  claim 1 , wherein the generating includes randomizing other one or more of the set of ranges.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 2.28846
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15701109', '15391950', '14139539', '15191043', '14139491']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5850828595693783
- 35 USC 102 Novelty (BERT): 0.5250767298185584
- Combined Prediction Score: 0.5790822465942964
- Mean Citation Score: 186.704856
- Max Citation Score: 235.07716
- Similarity Product: 122.92971808164594

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test