Comments (4)
Thanks for your comments!
Added a few pointers on how to curate the datasets and evaluate QuiltNet on them in /eval/README.md. With time I'll update the ReadMe to include some of the data links directly, however, all the links are easily searchable and all the datasets are easily obtainable, so it shouldn't be a hassle parsing them, if you do have any issues worth so ever please let us know.
Again thanks.
from quilt1m.
Thanks a lot!
Now the dataset preparation is built on the csv and video downloading, will you upload the whole image-text dataset to huggingface or other place with raw image format rather than video?
from quilt1m.
We belive that violates Youtube policies, and so we employ you to leverage open-source packages to download said videos and follow the steps outlined in the readme to parse those videos into images and save them -- i.e reconstruct Quilt!
Hope this is helpful, if you have any other questions, I'm happy to help.
from quilt1m.
Thanks a lot!
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Related Issues (17)
- Reproducing zero-shot classification results HOT 5
- How to fine-tune QuiltNet-B-32 model HOT 1
- please do not use BiomedCLIP for ARCH dataset HOT 2
- How to access the corresponding texts for QUILT dataset? I got the access to images via ZENODO but could not find corresponding texts. HOT 2
- Visualizations of the results HOT 1
- Access to the data HOT 1
- Clarification on stable_times assignment in data/main.py HOT 1
- Image-to-text generation HOT 1
- Issues with CSV files HOT 2
- Load ViT-B/32 HOT 1
- Error on loading QuiltNet-B-16 HOT 3
- Missing Imports and Code Errors HOT 3
- Video and Frames Download HOT 2
- Error in data_utils.py HOT 12
- Downloaded Dataset Size HOT 1
- Providing dataset HOT 2
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