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May 15, 2023 - Faculty of Computer Science & Information Technology
Chan, Chee Seng, 2023, "Replication Data for: MalayaKew (MK) Leaf dataset", https://doi.org/10.22452/RD/ED1RET, Universiti Malaya Research Data Repository, V1
MalayaKew (MK) Leaf dataset was collected at the Royal Botanic Gardens, Kew, England. It consists of scan-like images of leaves from 44 species classes. This dataset is very challenging as leaves from different species classes have very similar appearance.
Plain Text - 738 B - MD5: ba30932e2d4716ff114387024294bb45
Gzip Archive - 75.1 MB - MD5: 227984b2a5182c3b121d8385201d20b1
Groundtruth dataset with 8800 cropped image patches of leaf for testing
Gzip Archive - 2.2 MB - MD5: 91b6cd8a8499f0d109697d0604acd49e
D1 dataset with 2288 segmented leaf images for testing
Gzip Archive - 296.1 MB - MD5: 333d8429f44fbb1749b176c1a9dde48f
Groundtruth dataset with 34672 cropped image patches of leaf for training
Gzip Archive - 9.5 MB - MD5: 6e2e1c62d3de449499de7fa0d3038d48
D1 dataset with 528 segmented leaf images for training
May 15, 2023 - Faculty of Computer Science & Information Technology
Chan, Chee Seng, 2023, "Replication Data for: Exclusively Dark (ExDark) Image Dataset", https://doi.org/10.22452/RD/JUSQEK, Universiti Malaya Research Data Repository, V1
In order to facilitate a new object detection and image enhancement research particularly in the low-light environment, we introduce the Exclusively Dark (ExDark) dataset (CVIU2019). The Exclusively Dark (ExDARK) dataset, which to the best of our knowledge, is the largest collect...
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