{ "id": 99496, "title": " data augmentation", "url": "/competitions/aptos2019-blindness-detection/discussion/99496", "author_name": "", "post_date": "2019-07-11T18:27:35.359128300Z", "votes": 2, "comment_count": 5, "views": 0, "content": "

Hi everyone,\nPlease, suggest me which data augmentation technique i can try on these kind of images.

", "messages": [ { "id": "573057", "postDate": "07/11/2019 18:27:35", "content": "

Hi everyone,\nPlease, suggest me which data augmentation technique i can try on these kind of images.

", "rawMarkdown": "Hi everyone,\nPlease, suggest me which data augmentation technique i can try on these kind of images.", "votes": null }, { "id": "573152", "postDate": "07/11/2019 21:22:46", "content": "

You can look for various data augmentation techniques in public kernels. For instance, here: https://www.kaggle.com/artgor/basic-eda-and-baseline-pytorch-model\nI would suggest albumentations library: https://github.com/albu/albumentations It has many transforms, good tutorials and it is pretty fast

", "rawMarkdown": "You can look for various data augmentation techniques in public kernels. For instance, here: https://www.kaggle.com/artgor/basic-eda-and-baseline-pytorch-model\nI would suggest albumentations library: https://github.com/albu/albumentations It has many transforms, good tutorials and it is pretty fast", "votes": null }, { "id": "573382", "postDate": "07/12/2019 07:37:31", "content": "

I illustrate 6 sensible data augmentation with visualization by Grad CAM here in this kernel. Hope it is helpful.

\n\n

\"Albumentation

", "rawMarkdown": "I illustrate 6 sensible data augmentation with visualization by Grad CAM[ **here in this kernel**](https://www.kaggle.com/ratthachat/aptos-updated-albumentation-meets-grad-cam/). Hope it is helpful.\n\n![Albumentation meets Grad-CAM](https://i.ibb.co/H4MJWVz/gradcam-album.png)", "votes": null }, { "id": "573411", "postDate": "07/12/2019 08:39:06", "content": "

@blackitten13 this look pretty useful. will try this.. thanks

", "rawMarkdown": "blackitten13 this look pretty useful. will try this.. thanks", "votes": null }, { "id": "573412", "postDate": "07/12/2019 08:40:02", "content": "

@ratthachat thanks for sharing the kernel.. will check ..

", "rawMarkdown": "ratthachat thanks for sharing the kernel.. will check ..", "votes": null }, { "id": "573922", "postDate": "07/13/2019 00:45:16", "content": "

Hi! @shwetai, I been trying to utilize a few ideas from this repo: https://github.com/aleju/imgaug

", "rawMarkdown": "Hi! @shwetai, I been trying to utilize a few ideas from this repo: https://github.com/aleju/imgaug", "votes": null } ], "comments": [ { "id": 573152, "author_name": "blackitten13", "author_url": "", "post_date": "07/11/2019 21:22:46", "content": "

You can look for various data augmentation techniques in public kernels. For instance, here: https://www.kaggle.com/artgor/basic-eda-and-baseline-pytorch-model\nI would suggest albumentations library: https://github.com/albu/albumentations It has many transforms, good tutorials and it is pretty fast

", "votes": null, "replies": [ { "id": 573411, "author_name": "shwetai", "author_url": "", "post_date": "07/12/2019 08:39:06", "content": "

@blackitten13 this look pretty useful. will try this.. thanks

", "votes": null, "replies": [] } ] }, { "id": 573382, "author_name": "ratthachat", "author_url": "", "post_date": "07/12/2019 07:37:31", "content": "

I illustrate 6 sensible data augmentation with visualization by Grad CAM here in this kernel. Hope it is helpful.

\n\n

\"Albumentation

", "votes": null, "replies": [ { "id": 573412, "author_name": "shwetai", "author_url": "", "post_date": "07/12/2019 08:40:02", "content": "

@ratthachat thanks for sharing the kernel.. will check ..

", "votes": null, "replies": [] } ] }, { "id": 573922, "author_name": "cv13j0", "author_url": "", "post_date": "07/13/2019 00:45:16", "content": "

Hi! @shwetai, I been trying to utilize a few ideas from this repo: https://github.com/aleju/imgaug

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "573057": "Hi everyone,\nPlease, suggest me which data augmentation technique i can try on these kind of images.", "573152": "You can look for various data augmentation techniques in public kernels. For instance, here: https://www.kaggle.com/artgor/basic-eda-and-baseline-pytorch-model\nI would suggest albumentations library: https://github.com/albu/albumentations It has many transforms, good tutorials and it is pretty fast", "573382": "I illustrate 6 sensible data augmentation with visualization by Grad CAM[ **here in this kernel**](https://www.kaggle.com/ratthachat/aptos-updated-albumentation-meets-grad-cam/). Hope it is helpful.\n\n![Albumentation meets Grad-CAM](https://i.ibb.co/H4MJWVz/gradcam-album.png)", "573411": "blackitten13 this look pretty useful. will try this.. thanks", "573412": "ratthachat thanks for sharing the kernel.. will check ..", "573922": "Hi! @shwetai, I been trying to utilize a few ideas from this repo: https://github.com/aleju/imgaug" }, "source": "meta" }