PATENT CLAIM ANALYSIS

Application Number: 15862602
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["382", "173000"]

Abstract:
Detecting objects in an image includes: extracting core instance features from the image; calculating feature maps at multiscale resolutions from the core instance features; calculating detection boxes from the core instance features; calculating segmentation masks for each detection box of the detection boxes at the multiscale resolutions of the feature maps; merging the segmentation masks at the multiscale resolutions to generate an instance mask for each object detected in the image; refining the confidence scores of the merged segmentation masks by auxiliary networks calculating pixel level metrics; and outputting the instance masks as the detected objects.

Claim (Index 20):
The system of  claim 14 , wherein the pyramid segmentation network is configured to merge the plurality of segmentation masks at the multiscale resolutions to generate the instance mask by calculating an intersection over self metric and removing instances where the intersection over self metric exceeds a threshold value.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.16667
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15296845', '15230229', '15693446', '14801839', '15224487']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3191749372135739
- 35 USC 102 Novelty (BERT): 0.5123358546809925
- Combined Prediction Score: 0.3384910289603158
- Mean Citation Score: 226.923176
- Max Citation Score: 242.16208
- Similarity Product: 156.56507180380822

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