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1.发明公开公开(公告)号：US20240354972A1
公开(公告)日：2024-10-24
申请号：US18761164
申请日：2024-07-01
IPC分类号： G06T7/38 , G06F3/04842 , G06F18/214 , G06F18/2431 , G06N20/00 , G06T7/00 , G06T7/11 , G06T7/136 , G06V10/25
CPC分类号： G06T7/38 , G06F3/04842 , G06F18/2155 , G06F18/2431 , G06N20/00 , G06T7/0012 , G06T7/11 , G06T7/136 , G06V10/25
摘要： The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.
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公开(公告)号：US12051216B2
公开(公告)日：2024-07-30
申请号：US17375982
申请日：2021-07-14
IPC分类号： G06T7/38 , G06F3/0481 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0485 , G06F18/214 , G06F18/2431 , G06N20/00 , G06T7/00 , G06T7/11 , G06T7/136 , G06V10/25 , G06V10/774
CPC分类号： G06T7/38 , G06F3/04842 , G06F18/2155 , G06F18/2431 , G06N20/00 , G06T7/0012 , G06T7/11 , G06T7/136 , G06V10/25
摘要： The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.
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公开(公告)号：US20230016464A1
公开(公告)日：2023-01-19
申请号：US17375982
申请日：2021-07-14
摘要： The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.
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