Comments (3)
foreground label means the your query while retrieving images from the Flickr, and background label means the tags provided by Flickr (user or machine) ?
When we retrieve images from Flickr, we have a set of pre-defined categories, i.e., 20/80 categories as VOC/COCO.
Given each retrieved image, foreground label is the corresponding query category and the rest 19/79 categories are background labels.
Noise is mainly from Flickr' s robot. right?
We do not analyze the reasons that cause the noise.
Moreover, we do not glance at the retrieved images to minimize the human effort of making datasets.
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Thx!
Suppose "nature" is not a VOC category, then in this case, "nature" , which is in the "tags", is neither foreground nor background label, right?
In this schematic diagram, if you want to get VOC format, should BL include car and so on?
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Suppose "nature" is not a VOC category, then in this case, "nature" , which is in the "tags", is neither foreground nor background label, right?
Yes, you are right.
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Related Issues (9)
- Cannot open the links to training data and model HOT 1
- Where is the implementation of bagging mixup? HOT 2
- The AP on COCO seems a little too low. Have you tried other detection models? HOT 1
- Do ground-truth labels mean BN or FL in the sentence? WD and RD have high responses to ground-truth labels and foreground label respectively. HOT 1
- One-hot or multi-hot-encoding? HOT 2
- ./build_ops.sh meet some error HOT 3
- Would you mind showing the visualization results of the code? HOT 1
- ./build_ops.sh编译问题
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