onnx / onnx/models

Resnet50, SqueezeNet and VGG19 represented twice from different source frameworks

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Description

The model zoo currently contains three models (Resnet50, SqueezeNet and VGG19) that each have two variants which is confusing to end consumers.

Ideally these should be de-duplicated. If that doesn't make sense then they should state their differences outside of origin framework and be organized in a way that places them all in the same sub-folder/path on the repo.

Following are pointers to the existing duplicated models:

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the model directories at resnet50, squeezenet, models/image_classification/squeezenet, and vgg19, along with the linked model-zoo artifacts. Determine whether the variants are duplicates or meaningful revisions, then consolidate their locations or document their differences. Done means the affected models have one clear organization and consumers are no longer confused by duplicate paths.

Written by the indexing model from the issue text.

Assessment

Domain
machine-learning
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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