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Published 20 hours ago • verified publisher icon tensorflow

Very low validation accuracy using imagenet_classification.py

Open xlvy opened this issue 5 years ago • 0 comments

Run environment:

  • docker version: nvcr.io/nvidia/tensorflow:20.01-tf2-py3 with tensorflow version 2.0 and TensorRT 7.0

  • Validation TFRecord files: https://github.com/tensorflow/models/blob/master/research/slim/datasets/build_imagenet_data.py

  • Model: TF2.0 Resnet_50 hub model https://tfhub.dev/tensorflow/resnet_50/classification/1

  • preprocess_method: vgg

Why is the accuracy only 0.1%? Is there something wrong? image

xlvy avatar Oct 24 '20 06:10 xlvy