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MingleXu
Mingle Xu

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Jeonbuk National University

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Jeonju Si, KR

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PlantVillage is built on the premise that all knowledge that helps people grow food should be openly accessible to anyone on the planet.

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No submissions made in this challenge.

Image-based plant identification on Amazonian flora

Latest submissions

No submissions made in this challenge.

Latest submissions

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Image-based plant identification at global scale

Latest submissions

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LifeCLEF 2022-23 Plant

Same training and testing dataset with last year?

Over 1 year ago

Hello, Goeau,

Is it possible to delete my submission with ID 217592 because it is just a repeat of the one with ID 213889.

Even if it is not possible to delete, please do not report this result on the latter challenge report.

Thank you in advance.

Same training and testing dataset with last year?

Over 1 year ago

Ok, Goeau. I will try a preliminary one.

Thank you. Have a good day.

Same training and testing dataset with last year?

Over 1 year ago

Hello, Goeau.

I tried to submit with the exact same format as last year but failed without any message. So I do not know how to correct my submission.

And I checked the fake_run you put in the Submission instructions section, it now can not be accessed. It may confuse new particpants. So could you please check it.

Thank you in advance.
Have a good day.

Public codes for the challenge in 2022 as the first place

Over 1 year ago

Last year, we finetuned a pretrained ViT model and got the first place in this challenge. But we know that our result is far away to be decent and thus we public our work to encourage more attempts.

This is our Paper for PlantCLEF2022 and codes in GitHub.

Since I suffered a lot to make the submission, we share the code and hope the codes useful in this case.

Same training and testing dataset with last year?

Over 1 year ago

Hello,

Are the exact same training and testing dataset as last year?
If there are, I will skip the datasets downloading.

Results and working notes

Over 2 years ago

Hello. Your idea is in the right way and great. I believe it makes sense to understand and save time for the task. Thank you for your valuable suggestion.

Results and working notes

Over 2 years ago

Hello, Herve Goeau.

I really appreciate your help about this late submission that makes me have good understanding about the plant identification task. I hope these work also contribute to the interesting conference.

I tried to understand the observation and its impact. So I did several ablation study detailed below.

  1. In the official submission, we are required to submit top 30 predictions. If it is possible, please help me check top5, top10 and top20.

  2. Towards the observation, I try to see different method to combine multiple images for single observation. I did single_low, single_high, sorted, and random. In random case, we just use a random image as the output of the observation, so this can be regarded as a baseline without observation.

You can use the excel file in the link to fill in my last evaluations if you like this way. The link is: ClefPlant2022_late_submission – Google Drive

I am looking forward to hearing from you.

Thank you again.

Results and working notes

Over 2 years ago

Could you please evaluate my results in this link: Google Drive: Anmelden

Since I changed a lot of my codes with careful checking, I hope it correct.

Thank you in advance.

Results and working notes

Over 2 years ago

Thank you for this quick reply.

Your suggestion is nice for me. I am going to send my additional results to you.

Results and working notes

Over 2 years ago

Thank you very much for this grand opportunity related with plant identification with quick reply.

I am still interested in the latter submission before submitting working note and its final version with below factors.

  1. I just know the challenge at April 29. So I had no enough time to train and update my results. Moreover, the images are really in a large scale, it is time consuming to train models, which may be a commen issue for other people.

  2. The main difference between this challenge and other image classification task is the observation as you mentioned before. I am really interested in this. But as the limited time, I just use a very simple method to integrate the multiple images for one plant or observation. Personally, this is really inspired for other related applications.

  3. I believe that latter submission is going to give us more chances and opportunities to have better works and therefore, contributes more to the conference.

Thank you again for this challenge.

Deadline extension for run submission (until Sunday May 15 23:55 UTC)

Over 2 years ago

Yes, I have chance now.

Thank you very much!

Deadline extension for run submission (until Sunday May 15 23:55 UTC)

Over 2 years ago

The system does not allow me submit once more now.

Deadline extension for run submission (until Sunday May 15 23:55 UTC)

Over 2 years ago

But I do not know what happens. Now I have no chance.

Thank you for your quick reply.

Deadline extension for run submission (until Sunday May 15 23:55 UTC)

Over 2 years ago

By the way, I did not know how to make a correct submission in the beginning and made a lot of mistakes. And I did not expect the deadline was extended.

Is is possible to give more chances to make submissions?

Thank you for your work.

Deadline extension for run submission (until Sunday May 15 23:55 UTC)

Over 2 years ago

Thank you for the good news.

I have one question below.

Is it possible to give us a chance to late submission after the challenge. I believe that there are some interest to check our new strategies for the challenge.

Thank you again.

What does plant observation mean?

Over 2 years ago

I got now.

One plant may have several images for different paper, such as flower and leaf.
These info can be looked at https://lab.plantnet.org/LifeCLEF/PlantCLEF2022/test/PlantCLEF2022_test_metadata.csv.

What does plant observation mean?

Over 2 years ago

The next sentence is from the example:
The PlantCLEF2022 test dataset contains 26868 plant observations related to 55306 images, meaning that many plants are related to several images.

What does plant observation mean?

For me, I tried to classify all 55306 images into classes in the training dataset.
So, the image named 10251.jpg is classified.
But the submission is suggested to be wrong.

Could you please help me? Thank you.

Nothing, but everything.