PATENT CLAIM ANALYSIS

Application Number: 16044822
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["382", "159000"]

Abstract:
In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classified based at least in part on the human-weighted loss function.

Claim (Index 32):
The system of  claim 18 , wherein the classification module is configured to detect trees, cars, buses, buildings, and/or streets within query objects.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.7
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14900397', '15702809', '14155097', '15646563', '12011748']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3705609895442998
- 35 USC 102 Novelty (BERT): 0.5501303095164934
- Combined Prediction Score: 0.3885179215415191
- Mean Citation Score: 270.48561800000004
- Max Citation Score: 441.84872
- Similarity Product: 256.8071128427792

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