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inat_comp's Issues

About latitude and longitude

Does longitude greater than 0 mean East longitude and longitude less than 0 mean West longitude? have the same problem of Latitude (South < 0 and North >0 ?)

iNaturalist 2018 vs iNaturalist 2021

Hello,

I'm interested in using pretrained models on this dataset and wondered: is it safe to assume that pretrained networks on iNaturalist 2018 have not seen any images in the validation split for iNaturalist 2021?

For context, I'm running into an issue where many of the pretrained models I've found (for iNat-2021) were likely selected based on the validation split, leaving no labelled data with which to run additional experiments- unless the test set labels for iNat-2021 have been published somewhere, since the competition has ended?

Thanks! Appreciate the work you've put in to create & maintain the dataset.

How to link locations with photos

Hello, I wonder how the geotag information can be linked with photos from dataset? I noticed that there are location information, but I am not sure what the ID means in this json file.

image

Please help me if you are available.

what is the exactly label?

when i loaded the json file "val2017.json":
fin = open("val2017.json", 'r') data = json(fin) print data['categories'][662]['name']
i found that result is that Anas superciliosa × platyrhynchos, but i did not found the corresponding file in "train_val_images/Aves"
so what is the exactly label?

I found that "×" are 2 blanks.......
I recommend that use "-"or"_" to replace " "(blank)

How can I extract the taxa names?

I can extract the following from the output;
•num_detections
•detection_classes
•detection_boxes
•detection_scores

by using the following;

[sess.graph.get_tensor_by_name(‘num_detections:0’),
sess.graph.get_tensor_by_name(‘detection_scores:0’),
sess.graph.get_tensor_by_name(‘detection_boxes:0’),
sess.graph.get_tensor_by_name(‘detection_classes:0’)]

When I print out the resulting 5 sets of detection_classes and scores;

350
0.9786933660507202

358
0.018166758120059967

323
0.01589692384004593

360
0.010653774254024029

348
0.003607431659474969

What is the tensor output name for detection_class so that I can get that tensor by name? Or is there some other approach?

License

could you please specify the license for the dataset? thanks.

Would like to confirm my understanding of the taxonomy directory structure

Regarding the directory naming convention, I want to confirm that is correct:

The first directory is the organism class, then the name of the subdirectory is some permutation of the following:

-- genus -- species -- subspecies --

where each taxa category is separated by a space. Can you confirm? Thanks!

Information about the annotator id

In the paper Lean Multiclass Crowdsourcing, it seems that the annotator id information is provided in the iNat dataset. I am wondering if there is similar information provided here (so far, I cannot find it :(

I understand this repo is for the iNat challenge and the annotator id might be meaningless in this case. Yet, I found here to be the only place getting iNat dataset. If it's not proper to release it here, please refer me to the corresponding place. Thanks in advance

Are 2017 test labels available?

Hi,

I'm trying to use 2017 data for my own research. Not sure if I miss anything, but it seems that the info file test2017.json doesn't give the ground-truth label of test images. Are these test labels available?

Thanks

2019 Object Detection Labels?

Hello,
Does the 2019 dataset have any object detection annotations?
Also the 2017 Kaggle dataset does not contain images; a download from an S3 bucket for 2017 is the only way currently.
Thanks in advance.

Broken links to all 2017 data

Unfortunately none of the 2017 dataset links seem to be working.

For the one hosted by caltech, I get a Connection refused error:

~$ wget http://www.vision.caltech.edu/~gvanhorn/datasets/inaturalist/fgvc4_competition/train_val_images.tar.gz
--2020-07-28 18:35:19--  http://www.vision.caltech.edu/~gvanhorn/datasets/inaturalist/fgvc4_competition/train_val_images.tar.gz
Resolving www.vision.caltech.edu (www.vision.caltech.edu)... 34.208.54.77
Connecting to www.vision.caltech.edu (www.vision.caltech.edu)|34.208.54.77|:80... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: http://people.vision.caltech.edu/~gvanhorn/datasets/inaturalist/fgvc4_competition/train_val_images.tar.gz [following]
--2020-07-28 18:35:20--  http://people.vision.caltech.edu/~gvanhorn/datasets/inaturalist/fgvc4_competition/train_val_images.tar.gz
Resolving people.vision.caltech.edu (people.vision.caltech.edu)... 131.215.133.185
Connecting to people.vision.caltech.edu (people.vision.caltech.edu)|131.215.133.185|:80... failed: Connection refused.

And for each of the google API mirrors, a NoSuchBucket error:

<Error>
<Code>NoSuchBucket</Code>
<Message>The specified bucket does not exist.</Message>
</Error>

Has this data been permanently removed? Or is there a mirror or some other way to access it?

Thanks for any help.

using datasets on AWS

If I obtain AWS credits, will I be able to use these datasets without downloading them?

Data downloading

Hi,
Thanks for contributing such a good dataset.
I am wondering how much will it cost for downloading the data via AWS?
And when will you open source it for free again?

Rough Idea of Overlap

While I understand Visipedia does not want to provide a mapping between the 2018 and 2017 datasets, would it be possible to share a rough idea of the intersection between the two, if only in orders of magnitude?

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