What is the relationship between the output label of pretrained model in model zoo and wordnet synset id?
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Description
we can easily access pytorch pre-trained model like VGG, AlexNet and SqueezeNet by
import torchvision
torchvision.models.vgg16(pretrained=True)
can anyone point out what's the relationship between the output label(index of maximum output value) and the actual category?
i downloaded ILSVRC2012_devkit_t12 and got the imagenet id and other metainfo provided by meta.mat, however it seems pre-trained model have some different id. because when i evaluate the network with ILSVRC2012 validation set, it reports 100% error.
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Research direction
Start with the torchvision.models pretrained VGG16, AlexNet, and SqueezeNet entry points and compare their output indices with the ILSVRC2012 validation set and its devkit meta.mat metadata. Clarify the relationship between the maximum-output index, ImageNet category, and WordNet synset ID, and document a verifiable way to evaluate the models without the reported 100% error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100