QMUL-OpenLogo: An Open Logo Detection Benchmark (BMVC 2018)

A large scale Open Logo Detection Challenge: only a small proportion of logo classes provide fine-grained object bounding box labelling whilst the remaining classes have no labelled training data. This simulates a realistic logo detection scenario where new logo classes arrive progressively and require to be detected with little or none budget for exhaustively labelling fine-grained training data for every new class. This benchmark contains 27,083 images from 352 unique logo classes.

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QMUL-SurvFace Benchmark (arXiv 2018)

A large scale Surveillance Face Recognition Challenge, where low-resolution face images are not synthesised by artificial down-sampling of native high-resolution images. This benchmark contains 463,507 face images of 15,573 distinct identities captured in real-world uncooperative surveillance scenes over wide space and time.

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WebLogo-2M Dataset (ICCV Workshop 2017)

A large scale weakly and noisely labelled Logo Detection dataset consisting of (1) over 2 million web images and (2) 6,000+ test images with manually labelled logo bounding boxes.

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TopLogo-10 Dataset (WACV 2017)

A Logo Detection dataset containing 10 most popular brand logos of shoes, clothing and accessories.

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iLIDS Video re-IDentification (iLIDS-VID) Dataset (ECCV 2014, PAMI 2016, PR 2017, ECCV 2018)

An image sequence based person re-identification dataset captured in a crowded public space.

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TImes Square Intersection (TISI) Dataset (ICCV 2013, IJCV 2016)

A busy outdoor dataset for research on visual surveillance.

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Educational Resource Centre (ERCe) Dataset (ICCV 2013, IJCV 2016, TNNLS 2016)

An indoor dataset collected from a university campus for physical event understanding of long video streams.

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