PATENT CLAIM ANALYSIS

Application Number: 15979547
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "104000"]

Abstract:
A system and method for procedurally synthesizing a training dataset for training a machine-learning model. In one embodiment, the system includes: (1) a training designer configured to describe variations in content of training images to be included in the training dataset and (2) an image definer coupled to the training designer, configured to generate training image definitions in accordance with the variations and transmit the training image definitions: to a 3D graphics engine for rendering into corresponding training images, and further to a ground truth generator for generating associated ground truth corresponding to the training images, the training images and the associated ground truth comprising the training dataset.

Claim (Index 8):
A system for procedurally synthesizing a training dataset for training a machine-learning model, comprising:\n a first processor configured to generate training image definitions in accordance with variations in content of training images to be included in said training dataset; a second processor configured to render corresponding training images from said training image definitions; and a third processor configured to generate associated ground truth corresponding to said training images, said training images and said associated ground truth comprising said training dataset.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 2.10526
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15043697', '15736129', '13621974', '15051005', '11719634']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.312514535986527
- 35 USC 102 Novelty (BERT): 0.5266107045230048
- Combined Prediction Score: 0.3339241528401748
- Mean Citation Score: 218.082648
- Max Citation Score: 347.81372000000016
- Similarity Product: 287.24337384099016

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

Dataset: test