What is the pair_id for each items ? about deepfashion2 HOT 3 CLOSED

Thank you @geyuying for the clarification. If anyone wanna create item_id for each item, <pair_id>_<style> might be a good format :P

from deepfashion2.

Please note that we do not provide data in pairs. In training dataset, images are organized with continuous 'pair_id' including images from consumers and images from shops. (For example: 000001.jpg(pair_id:1; from consumer), 000002.jpg(pair_id:1; from shop),000003.jpg(pair_id:2; from consumer),000004.jpg(pair_id:2; from consumer),000005.jpg(pair_id:2; from consumer), 000006.jpg(pair_id:2; from consumer),000007.jpg(pair_id:2; from shop),000008.jpg(pair_id:2; from shop)...) A clothing item from shop images and a clothing item from consumer image are positive commercial-consumer pair if they have the same style number which is greater than 0 and they are from images with the same pair id, otherwise they are negative pairs. In this way, you can consruct training positive pairs and negative pairs in instance-level.

As is shown in the figure below, the first three images are from consumers and the last two images are from shops. These five images have the same 'pair_id'. Clothing items in orange bounding box have the same 'style':1. Clothing items in green bounding box have the same 'style': 2. 'Style' of other clothing items whose bouding boxes are not drawn in the figure is 0 and they can not construct positive commercial-consumer pairs. One positive commercial-consumer pair is the annotated short sleeve top in the first image and the annotated short sleeve top in the last image. Our dataset makes it possbile to construct instance-level pairs in a flexible way.
https://github.com/switchablenorms/DeepFashion2/blob/master/images/pair.jpg

Hope the above explanation will be helpful.

from deepfashion2.

'pair_id' and 'style' makes it convenient to construct instance-level pairs. 'pair_id' is an image-level label and 'style' is an instance-level label. All items in an image share the same 'pair_id'.

from deepfashion2.