QMUL underGround Re-IDentification (GRID)

by No License

QMUL underGround Re-IDentification (GRID)

The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.

Dataset Attributes

Label SVG
CategoriesDataset