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e557c83 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | ## Description
The ExDark dataset can be downloaded at [this https URL](https://drive.google.com/file/d/1BHmPgu8EsHoFDDkMGLVoXIlCth2dW6Yx/view?usp=sharing) (size = 1.5Gb).
## Dataset Information
The images are kept in individual class folders following the image class labels:
1. Bicycle - 652 images
2. Boat - 679 images
3. Bottle - 547 images
4. Bus - 527 images
5. Car - 638 images
6. Cat - 735 images
7. Chair - 648 images
8. Cup - 519 images
9. Dog - 801 images
10. Motorbike - 503 images
11. People - 609 images
12. Table - 505 images
Total : 7,363 images
For the experiments in our paper that involves training, the data are split as follows:
(a) Training - 3,000 images (250 images per class)
(b) Validation - 1,800 images (150 images per class)
(c) Testing - 2,563 images
* See [annotation](https://github.com/cs-chan/Exclusively-Dark-Image-Dataset/tree/master/Groundtruth) for further details.
Note:
1. The ExDark dataset can be used only for non-commercial research purpose.
2. For commercial purpose usage, please contact Dr. Chee Seng Chan at `cs.chan at um.edu.my`
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