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License: MIT License
iNaturalist competition details
License: MIT License
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
Hi,
I have a few question regarding the Nature Explorer model:
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.
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?
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)
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!
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 ?)
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.
Hi, the url of inaturalist 2017 is not available to download the whole dataset, while it is always crashed after downloading 110G of the dataset.
How to read CMYK images using MATLAB?
Hello! I was wondering if there is a reference to track the URL of these images hosted in the iNaturalist website's database.
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.
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?
Is there any other ways to download the dataset quicker?
the download speed is too slow...
about 60k/s
could you please specify the license for the dataset? thanks.
If I obtain AWS credits, will I be able to use these datasets without downloading them?
It seems the data can no longer be downloaded?
Hi,if there any netdisk for iNaturalist2018 dataset
Can you Please shared Classification Trained Model for this
Hi,
would be nice to have a baseline or tutorial script, with a sample submission file.
The sample images google driver link seems "access deny", could you provide new link for dowload 1.2GB image? Thank you so much
dataset for 2018 data is not available for downloading
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?
Hi, the link provided for the 2018 iNaturalist dataset is not working. Can you please provide that? The Caltech link is too slow to download.
Unable to access the link. Has the dataset information been deleted?
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
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