Comments (3)
the validation set of ImageNet1K is not in Imagenet21K train set, i double-checked that.
so this is a "fair" scenario
from imagenet21k.
How can I check if there are duplicates?
from imagenet21k.
i am sure the internet contains guides on that.
I did a loop-for on the validation set files
from imagenet21k.
Related Issues (20)
- ImageNet-1K Metadata HOT 3
- why no data normlization in data pre-processing?when I use data normlization in data pre-processing, rate of convergence of the network is slow HOT 1
- Can you share mean, std of imagenet21k? HOT 2
- Is the 1k validation set included in the 21k data? HOT 2
- About hierarchy balancing HOT 2
- No parent for n09450163 (sun)
- Any label map for ImageNet-1K?
- could you please provide image-label map directly?
- When using your ImageNet21K pretrained ResNet50 model in Detectron2, performance degrades HOT 1
- I see no normalization of images.
- Hyperparameters to finetune ResNet50 from IN21k to IN1k
- Missing details on Dropout and momentum value used for SGD when fine tuning on ImageNet1k
- What is the teacher model when using semantic softmax with KD?
- Where can I find the data?
- Does there any decriptions abount classes in "imagenet21k_small_classes"
- Anyone here have trouble reaching the mentioned accuracy for ViT-B?
- How to test Imagenet1K with pretrained backbone MobilenetV3_large_100? Could you release the testing script? Thanks a lot.
- ask for the pretrained model on ImageNet-21k-P from single label
- ask for the Transfer Learning Code of train.py on cifar100
- Dependencies to run code
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from imagenet21k.