Hi, I’d like to infer using the models above.
In the page, It mentioned that "It is trained on a subset of the Google OpenImages dataset. " …
Can I get more detailed information on the training set, or class information?
I’m even more curious that the trained model is for pretrained classification, or for just backbone of the other models such as detection,
the models are quite old, so I wonder I can get the right answer though.
Please let me know if you have any clues.
For the public Google Open Images dataset, we reviewed a subset of images in each class and selected 176 classes with less noisy images and larger number of images. Then images with aspect ratio greater than 3 and W or H less than 100 pixels are eliminated. Finally, we got roughly 400K training images.
The pre-trained weights are trained on Open Image datasets, and they provide a much better starting point for training versus starting from a random initialization of weights. Refer to Overview - NVIDIA Docs and Overview - NVIDIA Docs.
Thanks for prompt reply Morgan. Could I get the class information as well?
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks
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