Wordnet Ids corresponding to class labels about geoyfcc

[lilyjiayi]

Hi there! I have tried to pair the "in_5k_label_id" in geo-yfcc to the first 5K wordnet lemmas in the imagenet-21k (https://storage.googleapis.com/bit_models/imagenet21k_wordnet_lemmas.txt). It seemed that something is going wrong. For example, for the image with yfcc_row_id: 76746513, in_5k_label_ids: 2037, its corresponding label is "sea_swallow, Sterna_hirundo" (line 2037 in the word lemma file, indexed from 0) which does not seem to describe the image.

In addition, I looked into the "in_5k_label_ids" column in the metadata file and it includes labels starting from 1000. I assume that the first 1000 ids correspond to those included in the ImageNet LSVRC12. However, the first 1000 ids in imagenet-22k
(https://storage.googleapis.com/bit_models/imagenet21k_wordnet_ids.txt) are not those of imagenet1k (https://gist.github.com/fnielsen/4a5c94eaa6dcdf29b7a62d886f540372).

Could it be possible that you have used another ordering of the lemmas? Do you still have access to that? Thanks!

[OanaIgnat]

Hi, I encountered the same problem with not being able to map the label ids to the label names in ImageNet5k. Any solution to this? Thank you!

[abhimanyudubey]

Apologies for the delay folks, I have updated the repo with a JSON file with correct synset ID mappings. Please let me know in a new issue if the problem persists.