Abstract: Techniques for dataset processing are provided. A plurality of feature vectors is generated for a plurality of pixel regions from a plurality of images, and a plurality of clusters is generated based on the plurality of feature vectors. A score is assigned to each respective pixel region in the plurality of pixel regions based at least in part on a cluster the respective pixel region is associated with. A unified dataset is created by, for each respective cluster in the plurality of clusters, computing a representative index for each pixel region in the respective cluster by comparing the pixel regions in the cluster, and modifying the score of the pixel regions in the cluster based on the computed representative indices. A confidence index is generated for the unified dataset based at least in part on a level of fragmentation in the unified dataset.

Abstract: Techniques for dataset processing are provided. A plurality of feature vectors is generated for a plurality of pixel regions from a plurality of images, and a plurality of clusters is generated based on the plurality of feature vectors. A score is assigned to each respective pixel region in the plurality of pixel regions based at least in part on a cluster the respective pixel region is associated with. A unified dataset is created by, for each respective cluster in the plurality of clusters, computing a representative index for each pixel region in the respective cluster by comparing the pixel regions in the cluster, and modifying the score of the pixel regions in the cluster based on the computed representative indices. A confidence index is generated for the unified dataset based at least in part on a level of fragmentation in the unified dataset.

Abstract: Datasets containing a plurality of images are processed. A plurality of regions within the images are determined, where each of the plurality of regions corresponds to a facial region. A feature vector is generated for each of the plurality of pixel regions, and the plurality of pixel regions are clustered into a plurality of clusters based on the generated feature vectors. An initial score is assigned to each respective pixel region in the plurality of pixel regions, and the plurality of pixel regions are sorted based on the assigned scores. A representative index is computed for each respective pixel region by comparing each respective pixel regions with each other pixel region in the respective cluster. The score of each pixel region is modified based on the computed representative indices, and the pixel regions are sorted based on the modified scores. A confidence index is generated for the unified dataset.

Abstract: Datasets containing a plurality of images are processed. A plurality of regions within the images are determined, where each of the plurality of regions corresponds to a facial region. A feature vector is generated for each of the plurality of pixel regions, and the plurality of pixel regions are clustered into a plurality of clusters based on the generated feature vectors. An initial score is assigned to each respective pixel region in the plurality of pixel regions, and the plurality of pixel regions are sorted based on the assigned scores. A representative index is computed for each respective pixel region by comparing each respective pixel regions with each other pixel region in the respective cluster. The score of each pixel region is modified based on the computed representative indices, and the pixel regions are sorted based on the modified scores. A confidence index is generated for the unified dataset.