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refs:imagenet
(Results
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/external/tensorflow/tensorflow/lite/tools/accuracy/
README.md
31
For further examples, check the usage in [
imagenet
accuracy evaluation binary](ilsvrc/imagenet_model_evaluator.cc)
35
### ILSVRC (
Imagenet
Large Scale Visual Recognition Contest) classification task
/external/tensorflow/tensorflow/contrib/bigtable/python/ops/
bigtable_api.py
138
key_dataset = table.get_keys_prefix("
imagenet
")
150
key_dataset = table.get_keys_prefix("
imagenet
")
/external/tensorflow/tensorflow/lite/tools/accuracy/ilsvrc/
README.md
1
## Accuracy evaluation for ILSVRC 2012 (
Imagenet
Large Scale Visual Recognition Challenge) image classification task
52
In order to use this tool to run evaluation on the full 50K
ImageNet
dataset,
107
(5) Push the
imagenet
images to device, make sure device has sufficient storage available before pushing the dataset:
Completed in 77 milliseconds