The Market-1501 dataset is collected in front of a supermarket in Tsinghua University. A total of six cameras are used, including 5 high-resolution cameras, and one low-resolution camera. Overlap exists among different cameras. Overall, this dataset contains 32,668 annotated bounding boxes of 1,501 identities. In this open system, images of each identity are captured by at most six cameras. We make sure that each annotated identity is present in at least two cameras, so that cross-camera search can be performed. The Market-1501 dataset has three featured properties: First, our dataset employes Deformable Part Model (DPM) as pedestrian detector. Second, in addition to the true positive bounding boxes, we also provde false alarm detection results. Third, each identify may have multiple images under each camera. During cross-camera search, there are multiple queries and multiple ground truths for each identity. The Market-1501 dataset is annotated using the following rules. For each detec

The Market-1501 dataset is collected in front of a supermarket in Tsinghua University. A total of six cameras were used, including 5 high-resolution cameras, and one low-resolution camera. Field-of-view overlap exists among different cameras. Overall, this dataset contains 32,668 annotated bounding boxes of 1,501 identities. In this open system, images of each identity are captured by at most six cameras. We make sure that each annotated identity is present in at least two cameras, so that cross-camera search can be performed. The Market-1501 dataset has three featured properties:

First, our dataset uses the Deformable Part Model (DPM) as pedestrian detector. Second, in addition to the true positive bounding boxes, we also provde false alarm detection results. Third, each identify may have multiple images under each camera. During cross-camera search, there are multiple queries and multiple ground truths for each identity.