{ "id": 174522, "title": "More Resized Images", "url": "/competitions/siim-isic-melanoma-classification/discussion/174522", "author_name": "", "post_date": "2020-08-13T23:23:20.127333400Z", "votes": 16, "comment_count": 2, "views": 0, "content": "

Earlier in the competition I've posted several resized image datasets, all of which I was able to get by running resizing kernels. It took me a while, but I've finally been able to finish resizing images to several other image sizes, all done offline. The datasets can be found below:

\n

256x256: https://www.kaggle.com/tunguz/melanoma-resized-images-256
\n299x299: https://www.kaggle.com/tunguz/melanoma-resized-images-299
\n331x331: https://www.kaggle.com/tunguz/melanoma-resized-images-331
\n384x384: https://www.kaggle.com/tunguz/melanoma-resized-images-384
\n512x512: https://www.kaggle.com/tunguz/melanoma-resized-images-512
\n768x768 Test: https://www.kaggle.com/tunguz/melanoma-resized-images-768-test
\n768x768 Train: https://www.kaggle.com/tunguz/melanoma-resized-images-768-train
\n1024x1024 Test: https://www.kaggle.com/tunguz/melanoma-resized-test-images-1024
\n1024x1024 Train 1: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-1
\n1024x1024 Train 2: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-2

", "messages": [ { "id": "969770", "postDate": "08/13/2020 23:23:20", "content": "

Earlier in the competition I've posted several resized image datasets, all of which I was able to get by running resizing kernels. It took me a while, but I've finally been able to finish resizing images to several other image sizes, all done offline. The datasets can be found below:

\n

256x256: https://www.kaggle.com/tunguz/melanoma-resized-images-256
\n299x299: https://www.kaggle.com/tunguz/melanoma-resized-images-299
\n331x331: https://www.kaggle.com/tunguz/melanoma-resized-images-331
\n384x384: https://www.kaggle.com/tunguz/melanoma-resized-images-384
\n512x512: https://www.kaggle.com/tunguz/melanoma-resized-images-512
\n768x768 Test: https://www.kaggle.com/tunguz/melanoma-resized-images-768-test
\n768x768 Train: https://www.kaggle.com/tunguz/melanoma-resized-images-768-train
\n1024x1024 Test: https://www.kaggle.com/tunguz/melanoma-resized-test-images-1024
\n1024x1024 Train 1: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-1
\n1024x1024 Train 2: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-2

", "rawMarkdown": "Earlier in the competition [I've posted several resized image datasets](https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/154568), all of which I was able to get by running resizing kernels. It took me a while, but I've finally been able to finish resizing images to several other image sizes, all done offline. The datasets can be found below:\n\n256x256: https://www.kaggle.com/tunguz/melanoma-resized-images-256\n299x299: https://www.kaggle.com/tunguz/melanoma-resized-images-299\n331x331: https://www.kaggle.com/tunguz/melanoma-resized-images-331\n384x384: https://www.kaggle.com/tunguz/melanoma-resized-images-384\n512x512: https://www.kaggle.com/tunguz/melanoma-resized-images-512\n768x768 Test: https://www.kaggle.com/tunguz/melanoma-resized-images-768-test\n768x768 Train: https://www.kaggle.com/tunguz/melanoma-resized-images-768-train\n1024x1024 Test: https://www.kaggle.com/tunguz/melanoma-resized-test-images-1024\n1024x1024 Train 1: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-1\n1024x1024 Train 2: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-2", "votes": null }, { "id": "969842", "postDate": "08/14/2020 01:53:23", "content": "

Perfect timing :-)!

", "rawMarkdown": "Perfect timing :-)!", "votes": null }, { "id": "970237", "postDate": "08/14/2020 09:39:41", "content": "

Thank you @tunguz

\n

Can you please make one public kernal on how to use those, I mean which years data set it cantains

", "rawMarkdown": "Thank you @tunguz\n\nCan you please make one public kernal on how to use those, I mean which years data set it cantains", "votes": null } ], "comments": [ { "id": 969842, "author_name": "graf10a", "author_url": "", "post_date": "08/14/2020 01:53:23", "content": "

Perfect timing :-)!

", "votes": null, "replies": [] }, { "id": 970237, "author_name": "gopidurgaprasad", "author_url": "", "post_date": "08/14/2020 09:39:41", "content": "

Thank you @tunguz

\n

Can you please make one public kernal on how to use those, I mean which years data set it cantains

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "969770": "Earlier in the competition [I've posted several resized image datasets](https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/154568), all of which I was able to get by running resizing kernels. It took me a while, but I've finally been able to finish resizing images to several other image sizes, all done offline. The datasets can be found below:\n\n256x256: https://www.kaggle.com/tunguz/melanoma-resized-images-256\n299x299: https://www.kaggle.com/tunguz/melanoma-resized-images-299\n331x331: https://www.kaggle.com/tunguz/melanoma-resized-images-331\n384x384: https://www.kaggle.com/tunguz/melanoma-resized-images-384\n512x512: https://www.kaggle.com/tunguz/melanoma-resized-images-512\n768x768 Test: https://www.kaggle.com/tunguz/melanoma-resized-images-768-test\n768x768 Train: https://www.kaggle.com/tunguz/melanoma-resized-images-768-train\n1024x1024 Test: https://www.kaggle.com/tunguz/melanoma-resized-test-images-1024\n1024x1024 Train 1: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-1\n1024x1024 Train 2: https://www.kaggle.com/tunguz/melanoma-resized-images-1024-2", "969842": "Perfect timing :-)!", "970237": "Thank you @tunguz\n\nCan you please make one public kernal on how to use those, I mean which years data set it cantains" }, "source": "meta" }