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Bad sample files #23

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@DagSonntag DagSonntag commented Mar 16, 2020

Hi Tony
When I was trying out some image segmentation modelling I was using your pix2code datasets but noticed that some of the samples were incorrect (i.e. the code in the gui files did not correspond to the images).
The files identified were:
WEB: ['7B12BD37-DAF3-48A6-991A-68200B7A9646', '88CF81C4-9D0B-42C8-9DE6-25F81CFDA283',
'0760CA6A-B885-455B-AE48-DD9F8AF4C334', '5404130F-7754-40A8-AF07-82CA2E6CE151',
'9022DD47-2D1B-40F6-84C3-024AB448365F', 'BA6B3726-F0C6-4208-87C4-59E637E184C4',
'FDBD8D36-B4F0-4398-9881-9B4EDE94BED1','16E05E7C-10D2-4A4B-8186-48A1334494CF']
IOS: ['A964B1B0-4E8B-4326-ABC0-F2F3A2730AB0','A964B1B0-4E8B-4326-ABC0-F2F3A2730AB0']
ANDROID: ['A9D42A06-B07C-457B-9D42-21B5523177EF','97174B6D-F65F-4F60-988D-2FA3D7568B3D','4B4940EA-C0B7-4E50-B0B0-0FBA99DAE093', 'B37BC357-9ECF-4F0B-9F2E-E2503C87884F', 'BCAB4BD8-9AF4-4154-93B1-220F0D5870A5']

So I created this pull request where I have removed the files from the zip files.
Merge if you like :)

(There might be additional cases currently overfitted in my training data, I will create an additional pull request if I find any)

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