PATENT CLAIM ANALYSIS

Application Number: 15900606
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["382", "218000"]

Abstract:
Non-limiting examples of the present disclosure relate to object detection processing of image content that categorically classifies specific objects within image content. Exemplary object detection processing may be utilized to enhance visual search processing including content retrieval and curation, among other technical advantages. An exemplary object detection model is implemented to categorically classify an object. In doing, so an exemplary object detection model may classify objects based on: analysis of specific objects within image content, positioning of the objects within the image content and intent associated with the image content, among other examples. The object detection model generates exemplary categorical classification(s) for specific data objects, which may be propagated to enhance processing efficiency and accuracy during visual search processing. Exemplary categorical classifications may comprise hierarchical classifications of a detected object that can be used to retrieve, curate and surface content that is most contextually relevant to a detected object.

Claim (Index 7):
The method of  claim 1 , wherein the surfacing further comprises presenting, through the user interface, visually similar images for the object based on the filtering.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 88.0
- Lexical Diversity: 2.03704
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15840823', '12537520', '15597905', '14918478', '14918491']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2956047916320976
- 35 USC 102 Novelty (BERT): 0.5036405485238038
- Combined Prediction Score: 0.3164083673212682
- Mean Citation Score: 160.73793600000005
- Max Citation Score: 214.55789
- Similarity Product: 144.64147543369708

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

Dataset: test