PATENT CLAIM ANALYSIS

Application Number: 15916980
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "100000"]

Abstract:
A system and method that gathers and labels images for use by a machine learning algorithm for image classification is disclosed. The method includes acquiring a preview image including a portion of a scene, generating a user interface including the preview image, performing object detection on the preview image to detect a set of items, adding, to the first preview image, a set of regions of interest based on the object detection, each region of interest highlighting a location of a corresponding item in the set of items, receiving an image corresponding to the preview image, determining an object identifier associated with an item, and labeling the item in the image using the object identifier and a region of interest corresponding to the item.

Claim (Index 3):
The method of  claim 2 , further comprising:\n acquiring a second preview image of a second portion of the scene, the second preview image having an overlap with the first image that satisfies an overlap threshold; performing object detection on the second preview image to detect a third set of items, the third set of items including the first item due to the overlap; adding, to the second preview image, a third set of regions of interest based on the object detection, each region of interest in the third set highlighting a location of an associated item in the third set of items; receiving a second image corresponding to the second preview image; and labeling the first item in the second image.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 90.0
- Lexical Diversity: 2.21311
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15467093', '14791374', '15715081', '14791376', '15457876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3181600093867685
- 35 USC 102 Novelty (BERT): 0.4622177596579726
- Combined Prediction Score: 0.3325657844138889
- Mean Citation Score: 162.679016
- Max Citation Score: 166.87918
- Similarity Product: 133.51507323618887

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