Published June 1, 2021
| Version 1.0.0
Dataset
Open
Zanim
Description
Zanim ('zero-shot animals') is a dataset specifically designed to benchmark few-shot and multi-modal image classification; each animal in the dataset has a succinct description of its appearance, and, as a result, it is desirable to create models that can leverage this information to improve few (or zero)-shot image-classification.
- 'data.gz' - contains all the images of the dataset including the file structure specified in the json
- 'am3.pth.tar' - a checkpointed version of the AM3 model used in our research
- 'fumi.pth.tar' - a checkpoint of the FuMI model used in our research
- 'cropped-images-integers.hdf5' - cropped and downscaled images (128x128) ideal for viewing in a notebook
- 'image-embedding-resnet-152.hdf5' - embeddings of each image in the dataset using a resnet-152 model
- 'zanim.json' - a json file containing the descriptions and additional information required for modelling
Files
zanim.json
Files
(27.9 GB)
| Name | Size | Download all |
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md5:18846866fce6dc54e3b6c73bce802501
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27.0 MB | Download |
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md5:49da33640162ce02f5f8e160eb96bbc5
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9.6 GB | Download |
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md5:20295a5b13ab7e2f5c0f1d9b9b042082
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16.5 GB | Download |
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md5:66d4021cca6991caa8ce13ecbc92ec32
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8.9 MB | Download |
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md5:8c4b0a48479b953e10b32c3859e1a0fd
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1.6 GB | Download |
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md5:b5a6492c23fa66aa8853700bfef5f870
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77.8 MB | Preview Download |