Hi everyone,
\n\nWe are happy to announce our second annual herbarium fine-grained recognition challenge, in partnership with the New York Botanical Garden as part of their efforts to automate species recognition and aid with species discovery. The challenge is part of the Seventh Workshop on Fine-Grained Visual Categorization (FGVC7) at CVPR 2020 in Seattle.
\n\nOur first challenge, Herbarium 2019, focused on a dataset of ~46k flowering plants (Melastomes). This year, we greatly expand the dataset to over 1M vascular land plants (which includes lycophytes, ferns, gymnosperms, and flowering plants), with a much more long-tailed distribution.
\n\nLooking forward to the interesting and creative solutions that you all come up with. Feel free to ask questions here, or on the github page!
", "messages": [ { "id": 768296, "postDate": "2020-03-10T16:01:04.090Z", "content": "Hi everyone,
\n\nWe are happy to announce our second annual herbarium fine-grained recognition challenge, in partnership with the New York Botanical Garden as part of their efforts to automate species recognition and aid with species discovery. The challenge is part of the Seventh Workshop on Fine-Grained Visual Categorization (FGVC7) at CVPR 2020 in Seattle.
\n\nOur first challenge, Herbarium 2019, focused on a dataset of ~46k flowering plants (Melastomes). This year, we greatly expand the dataset to over 1M vascular land plants (which includes lycophytes, ferns, gymnosperms, and flowering plants), with a much more long-tailed distribution.
\n\nLooking forward to the interesting and creative solutions that you all come up with. Feel free to ask questions here, or on the github page!
", "rawMarkdown": "Hi everyone,\n\nWe are happy to announce our second annual herbarium fine-grained recognition challenge, in partnership with the [New York Botanical Garden](https://www.nybg.org/plant-research-and-conservation/) as part of their efforts to automate species recognition and aid with species discovery. The challenge is part of the [Seventh Workshop on Fine-Grained Visual Categorization ](https://sites.google.com/corp/view/fgvc7) (FGVC7) at [CVPR 2020](http://cvpr2020.thecvf.com/) in Seattle.\n\nOur first challenge, [Herbarium 2019](https://www.kaggle.com/c/herbarium-2019-fgvc6), focused on a dataset of ~46k flowering plants (Melastomes). This year, we greatly expand the dataset to over 1M vascular land plants (which includes lycophytes, ferns, gymnosperms, and flowering plants), with a much more long-tailed distribution.\n\nLooking forward to the interesting and creative solutions that you all come up with. Feel free to ask questions here, or on the [github page](https://github.com/visipedia/herbarium_comp)!", "votes": 7 }, { "id": 768467, "postDate": "2020-03-10T20:41:15.247Z", "content": "Hi @jesucristo, thanks for your question! Yes, we do mean the macro F1 evaluation metric. It depends on how teams fare, but we'll likely reach out to at least the top 3.
", "rawMarkdown": "Hi @jesucristo, thanks for your question! Yes, we do mean the macro F1 evaluation metric. It depends on how teams fare, but we'll likely reach out to at least the top 3.", "votes": 1, "replies": [ { "id": 779178, "postDate": "2020-03-19T04:53:52.433Z", "content": "Hi,I downloaded the data and found that one category has no sample in the training set,the category id is 23079, can someone help me figure out it's my mistake or just the competition's setting?\nThanks
", "rawMarkdown": "Hi,I downloaded the data and found that one category has no sample in the training set,the category id is 23079, can someone help me figure out it's my mistake or just the competition's setting?\nThanks" } ] }, { "id": 768434, "postDate": "2020-03-10T19:38:20.337Z", "content": "Hi @kcgoogle , A panel will review the top submissions for the competition based on the description of the methods provided. do you mean based on the accuracy (macro F1) ? how many teams could be selected at the end?\nthanks for the challenge!
Is it possible to find the biological names of the species in this dataset? The Herbarium 2019 dataset had this information in the Categories.txt file, but this is missing here.
", "rawMarkdown": "Is it possible to find the biological names of the species in this dataset? The Herbarium 2019 dataset had this information in the Categories.txt file, but this is missing here." }, { "id": 780065, "postDate": "2020-03-20T00:06:48.787Z", "content": "Hi @kcgoogle , if the CVPR 2020 is cancelled due to the covid19 spread (I hope it doesn't happen) , are these workshop/talks going to continue? For example remotely as at the ICML. I guess you don't have the answer yet, but please keep us informed about that. Thanks!
", "rawMarkdown": "Hi @kcgoogle , if the CVPR 2020 is cancelled due to the covid19 spread (I hope it doesn't happen) , are these workshop/talks going to continue? For example remotely as at the ICML. I guess you don't have the answer yet, but please keep us informed about that. Thanks!", "replies": [ { "id": 780927, "postDate": "2020-03-20T18:38:11.010Z", "content": "Thanks @jesucristo for your question. As far as I know, CVPR2020 is still happening, but I'll provide any updates once I know!
", "rawMarkdown": "Thanks @jesucristo for your question. As far as I know, CVPR2020 is still happening, but I'll provide any updates once I know!" } ] }, { "id": 776221, "postDate": "2020-03-17T08:01:39.297Z", "content": "Hey @kcgoogle is there no incentive from this competiton?
", "rawMarkdown": "Hey @kcgoogle is there no incentive from this competiton?", "replies": [ { "id": 777575, "postDate": "2020-03-17T19:31:24.083Z", "content": "Hi Kurian, unfortunately there is no direct incentive (Kaggle points or cash prizes), but the top performing teams will be invited to collaborate with NYBG and also to the workshop at CVPR2020.
", "rawMarkdown": "Hi Kurian, unfortunately there is no direct incentive (Kaggle points or cash prizes), but the top performing teams will be invited to collaborate with NYBG and also to the workshop at CVPR2020." } ] }, { "id": 768571, "postDate": "2020-03-11T01:47:08.493Z", "content": "Hi @lizitong99, yes, it means the predicted \"category_id\". I've updated the Evaluation section to clarify this.
", "rawMarkdown": "Hi @lizitong99, yes, it means the predicted \"category_id\". I've updated the Evaluation section to clarify this." }, { "id": 768551, "postDate": "2020-03-11T00:24:12.403Z", "content": "Hi! I wonder if the \"Predict\" column in submissions means the predicted \"category_id\"? Thanks for the help!
", "rawMarkdown": "Hi! I wonder if the \"Predict\" column in submissions means the predicted \"category_id\"? Thanks for the help!" }, { "id": 983349, "postDate": "2020-08-24T08:04:02.697Z", "rawMarkdown": "", "isDeleted": true }, { "id": 836771, "postDate": "2020-05-07T08:20:57.037Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 768467, "author_name": "Kiat Chuan Tan", "author_url": "", "post_date": "2020-03-10T20:41:15.247000", "content": "Hi @jesucristo, thanks for your question! Yes, we do mean the macro F1 evaluation metric. It depends on how teams fare, but we'll likely reach out to at least the top 3.
", "votes": 1, "replies": [ { "id": 779178, "author_name": "jacobian", "author_url": "", "post_date": "2020-03-19T04:53:52.433000", "content": "Hi,I downloaded the data and found that one category has no sample in the training set,the category id is 23079, can someone help me figure out it's my mistake or just the competition's setting?\nThanks
", "votes": 0, "replies": [] } ] }, { "id": 768434, "author_name": "Nanashi", "author_url": "", "post_date": "2020-03-10T19:38:20.337000", "content": "Hi @kcgoogle , A panel will review the top submissions for the competition based on the description of the methods provided. do you mean based on the accuracy (macro F1) ? how many teams could be selected at the end?\nthanks for the challenge!
Is it possible to find the biological names of the species in this dataset? The Herbarium 2019 dataset had this information in the Categories.txt file, but this is missing here.
", "votes": 0, "replies": [] }, { "id": 780065, "author_name": "Nanashi", "author_url": "", "post_date": "2020-03-20T00:06:48.787000", "content": "Hi @kcgoogle , if the CVPR 2020 is cancelled due to the covid19 spread (I hope it doesn't happen) , are these workshop/talks going to continue? For example remotely as at the ICML. I guess you don't have the answer yet, but please keep us informed about that. Thanks!
", "votes": 0, "replies": [ { "id": 780927, "author_name": "Kiat Chuan Tan", "author_url": "", "post_date": "2020-03-20T18:38:11.010000", "content": "Thanks @jesucristo for your question. As far as I know, CVPR2020 is still happening, but I'll provide any updates once I know!
", "votes": 0, "replies": [] } ] }, { "id": 776221, "author_name": "Kurian Benoy", "author_url": "", "post_date": "2020-03-17T08:01:39.297000", "content": "Hey @kcgoogle is there no incentive from this competiton?
", "votes": 0, "replies": [ { "id": 777575, "author_name": "Kiat Chuan Tan", "author_url": "", "post_date": "2020-03-17T19:31:24.083000", "content": "Hi Kurian, unfortunately there is no direct incentive (Kaggle points or cash prizes), but the top performing teams will be invited to collaborate with NYBG and also to the workshop at CVPR2020.
", "votes": 0, "replies": [] } ] }, { "id": 768571, "author_name": "Kiat Chuan Tan", "author_url": "", "post_date": "2020-03-11T01:47:08.493000", "content": "Hi @lizitong99, yes, it means the predicted \"category_id\". I've updated the Evaluation section to clarify this.
", "votes": 0, "replies": [] }, { "id": 768551, "author_name": "lizitong99", "author_url": "", "post_date": "2020-03-11T00:24:12.403000", "content": "Hi! I wonder if the \"Predict\" column in submissions means the predicted \"category_id\"? Thanks for the help!
", "votes": 0, "replies": [] }, { "id": 983349, "author_name": "", "author_url": "", "post_date": "2020-08-24T08:04:02.697000", "content": "", "votes": 0, "replies": [] }, { "id": 836771, "author_name": "", "author_url": "", "post_date": "2020-05-07T08:20:57.037000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "768296": "Hi everyone,\n\nWe are happy to announce our second annual herbarium fine-grained recognition challenge, in partnership with the [New York Botanical Garden](https://www.nybg.org/plant-research-and-conservation/) as part of their efforts to automate species recognition and aid with species discovery. The challenge is part of the [Seventh Workshop on Fine-Grained Visual Categorization ](https://sites.google.com/corp/view/fgvc7) (FGVC7) at [CVPR 2020](http://cvpr2020.thecvf.com/) in Seattle.\n\nOur first challenge, [Herbarium 2019](https://www.kaggle.com/c/herbarium-2019-fgvc6), focused on a dataset of ~46k flowering plants (Melastomes). This year, we greatly expand the dataset to over 1M vascular land plants (which includes lycophytes, ferns, gymnosperms, and flowering plants), with a much more long-tailed distribution.\n\nLooking forward to the interesting and creative solutions that you all come up with. Feel free to ask questions here, or on the [github page](https://github.com/visipedia/herbarium_comp)!", "768467": "Hi @jesucristo, thanks for your question! Yes, we do mean the macro F1 evaluation metric. It depends on how teams fare, but we'll likely reach out to at least the top 3.", "768434": "Hi @kcgoogle , ```A panel will review the top submissions for the competition based on the description of the methods provided. ``` do you mean based on the accuracy (macro F1) ? how many teams could be selected at the end?\nthanks for the challenge!", "983350": "Is it possible to find the biological names of the species in this dataset? The Herbarium 2019 dataset had this information in the Categories.txt file, but this is missing here.", "780065": "Hi @kcgoogle , if the CVPR 2020 is cancelled due to the covid19 spread (I hope it doesn't happen) , are these workshop/talks going to continue? For example remotely as at the ICML. I guess you don't have the answer yet, but please keep us informed about that. Thanks!", "776221": "Hey @kcgoogle is there no incentive from this competiton?", "768571": "Hi @lizitong99, yes, it means the predicted \"category_id\". I've updated the Evaluation section to clarify this.", "768551": "Hi! I wonder if the \"Predict\" column in submissions means the predicted \"category_id\"? Thanks for the help!", "983349": "", "836771": "" } }