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Hi, I've downloaded the pretained features for train/val using the provided links (36 - 100 features per image), however, there are four tsv files in it, namely,
karpathy_train_resnet101_faster_rcnn_genome.tsv.0
karpathy_train_resnet101_faster_rcnn_genome.tsv.1
karpathy_val_resnet101_faster_rcnn_genome.tsv
karpathy_test_resnet101_faster_rcnn_genome.tsv
each of the four file contains 56643,56644,5000,5000 unique image_id, however, in vqa2.0, training dataset has 82783 image, validation set contains 40,504 images, how can I know which image_id is for training set, which is for validation set?
The text was updated successfully, but these errors were encountered:
Struggling with this too. I've loaded in the trainval files and the test files but am still struggling to find images which were in the original 2014 validation set
Hello, I encountered the same problem. I don't know how the csv file here corresponds to the image id in the coco dataset. Have you solved this problem?
Hi, I've downloaded the pretained features for train/val using the provided links (36 - 100 features per image), however, there are four tsv files in it, namely,
each of the four file contains 56643,56644,5000,5000 unique image_id, however, in vqa2.0, training dataset has 82783 image, validation set contains 40,504 images, how can I know which image_id is for training set, which is for validation set?
The text was updated successfully, but these errors were encountered: