GRID Dataset

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 figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.

Source: https://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html

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Benchmarks

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Task	Dataset Variant	Best Model
Lipreading	GRID corpus (mixed-speech)	CTC/Attention
Speaker-Specific Lip to Speech Synthesis	GRID corpus (mixed-speech)	Visual Voice Memory
Speech Separation	GRID corpus (mixed-speech)	Audio-Visual concat-ref
Speech Enhancement	GRID corpus (mixed-speech)	Audio-Visual concat-ref
Lip Reading	GRID corpus (mixed-speech)	Lip2Wav