How did you pick the images from Microsoft COCO and OpenImages?

[filippoaleotti]

How did you pick the images from Microsoft COCO and OpenImages?

[FilippoAleotti]

Hi,
For the training, I did not apply any content-based strategy, but you can exploit object annotations provided by the datasets to make a content-specific dataset. On the contrary, with the aim of being robust in the wild, I just applied checks in terms of shapes (no portrait images) and I also discarded those images with a black border (if the sum of all the pixels belonging to the first or last 50 columns picture is very low then I skip the image). This means that some images are really hard to explain for a monocular network, but that’s fine because I don’t know which images the network will see at testing time (think about this)
I do not plan to release the dataset, but just the training code and the list of images in the future.

[yan99033]

Thanks for the reply. Looking forward to the release of the training code and the list of images.

May I know which links you used to download the datasets?
For Microsoft COCO, is it "2017 Unlabelled images"?

The OpenImages dataset is huge (18TB in total), which one did you use?

[FilippoAleotti]

Hi ,sorry for the delay in responding you. I've added the image list in single_inference folder.