Invention Grant
- Patent Title: Auto-tags with object detection and crops
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Application No.: US17240246Application Date: 2021-04-26
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Publication No.: US11790045B2Publication Date: 2023-10-17
- Inventor: Shipali Shetty , Zhe Lin , Alexander Smith
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE, INC.
- Current Assignee: ADOBE, INC.
- Current Assignee Address: US CA San Jose
- Agency: F. CHAU & ASSOCIATES, LLC
- Main IPC: G06F18/22
- IPC: G06F18/22 ; G06T7/00 ; G06V10/75

Abstract:
Systems and methods for image tagging are described. In some embodiments, images with problematic tags are identified after applying an auto-tagger. The images with problematic tags are then sent to an object detection network. In some cases, the object detection network is trained using a training set selected to improve detection of objects associated with the problematic tags. The output of the object detection network can be merged with the output of the auto-tagger to provide a combined image tagging output. In some cases, the output of the object detection network also includes a bounding box, which can be used to crop the image around a relevant object so that the auto-tagger can be reapplied to a portion of the image.
Public/Granted literature
- US20220343108A1 AUTO-TAGS WITH OBJECT DETECTION AND CROPS Public/Granted day:2022-10-27
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