ImageNetV2 VS tensorflow-image-models

Compare ImageNetV2 vs tensorflow-image-models and see what are their differences.

tensorflow-image-models

TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights. (by martinsbruveris)
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ImageNetV2 tensorflow-image-models
1 1
225 280
0.9% -
2.1 2.5
about 1 year ago 21 days ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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ImageNetV2

Posts with mentions or reviews of ImageNetV2. We have used some of these posts to build our list of alternatives and similar projects.
  • Assignment 2 Part C.3 - Which Dataset?
    1 project | /r/CST_DeepNN | 28 Feb 2021
    Part C.3 seems to expect us the use the ImageNet dataset, but ImageNet is not publicly available anymore - it can only be downloaded from here: http://image-net.org/download-images, and you need to sign up for it. What dataset are we expected to use for the question then - would using ImageNetV2 (https://github.com/modestyachts/ImageNetV2) be fine? Would it be okay to split this up into a train set and test set (with the test set having a length of 128 as requested in the question), and use the test set for evaluation and the train set for retraining our modified AlexNet model?

tensorflow-image-models

Posts with mentions or reviews of tensorflow-image-models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-22.

What are some alternatives?

When comparing ImageNetV2 and tensorflow-image-models you can also consider the following projects:

pytorch-image-models - The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more