Issue in Test Images

#1

I notice that there are 44 images in the test set of 17331 are not readable. Few example are 1c56622f067257a814254b3a0d66a504.jpg , 2b8060650fbc5c4d04c831e37b6a2af3.jpg
Do we ignore these images? Will these be ignored in the submissions?

Following code gets the list of images:
lsFiles has the full list of paths for the images
from PIL import Image
lsRemove = []
for sFiles in tqdm(lsFiles):
try:
Image.open(sFiles)
except:
lsRemove.append(sFiles)

#2

Maybe @mohanty or @shivam can help with this issue. I looked into it and faced the same problem. These are the 44 images affected which I will delete:

[‘8c1caca747f9c9ff4fa85d5deb6a2d7b.jpg’, ‘e808d7e250c6cba745e3ddf6cc7166c4.jpg’, ‘e21b308876dd40450fd79befadf72e84.jpg’, ‘adabb60ac05b85be74ee23c1ed84164b.jpg’, ‘7ae396c98d9cf5a4927f89a48be1b027.jpg’, ‘d38a244e9f88fbe5d24fab35813e0199.jpg’, ‘122231ec40704f3077b5e08d9545e682.jpg’, ‘98726ddfca6ae64e305a31af70d91483.jpg’, ‘142f43fd0a314ecd7f3e4cbfc1f3080c.jpg’, ‘5d14c48dc467098b1433dc5ba0d670e7.jpg’, ‘8c57224e5d5d4d76b34f4c467e6c6c73.jpg’, ‘64bbe30099ab1a108db780eeaaf09055.jpg’, ‘773a7c1b0904561126a608f5fac2a3f8.jpg’, ‘2e23ade63c4e32b728a423ff19e52ef1.jpg’, ‘77850402b8b8121d998b8a3b98ed8c57.jpg’, ‘f5fe0394d7732da1ce5373133e275874.jpg’, ‘79523652fdcea02763665d685b8a96a2.jpg’, ‘094684c7f05726dcf48edd40f521de12.jpg’, ‘d8d7b30c4ff40ec049219998f776de19.jpg’, ‘9998b45c0e5f9db01dcf7fe3d4582d70.jpg’, ‘1c56622f067257a814254b3a0d66a504.jpg’, ‘23f3c8f701c8fa48f1fce47039a84bb3.jpg’, ‘2b8060650fbc5c4d04c831e37b6a2af3.jpg’, ‘2bcb7604d1e6611d3911efb09d0760a6.jpg’, ‘1609b108e31ccb318ee8e475ca72074e.jpg’, ‘80bf3fd3759e0bbc0b83baf4748284de.jpg’, ‘035b83d6eb12ca399d5fb7a5a4f5b73b.jpg’, ‘b59cbae57050c1b65130c79971309caf.jpg’, ‘a781d33863fa2eb233b366982fc311f2.jpg’, ‘88277e9b21c88548fb99eb32d46b440a.jpg’, ‘f8675f96b7b71c2c615fc31ca79fd98d.jpg’, ‘f036432c65478a29ffc288c50c2c862f.jpg’, ‘b099b295efe26cec8064600a6ca5cd97.jpg’, ‘d52ebe0861059d04c0ea16acbbf47648.jpg’, ‘3f014dd954ba56697215fcae131f7eac.jpg’, ‘d98b33a4a9743d41462c423b7a77cf6e.jpg’, ‘145e1fed44c0608b2510495e1da186e6.jpg’, ‘8d0f77893c900842d3f537020601cc81.jpg’, ‘e2604125cc5fce0380b826a3c9ad4207.jpg’, ‘a7775e93e11bcb9de449b40742fb922f.jpg’, ‘9f1acb51f2bbce9e458b1f7593039b14.jpg’, ‘bd8e2d98c306b0118abe5294bde8a063.jpg’, ‘55f787c655671d97b675b3b4a1092e68.jpg’, ‘06a3288602939c7f03827215e80e1a1e.jpg’]

#3

Please use random predictions for the listed filenames which are corrupt, the evaluator expects that you provide predictions for all the filenames in the test set.