ConsumerToShopDataset
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Annotations (Anno/)
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Attribute Annotations (list_attr_cloth.txt & list_attr_type.txt & list_attr_items.txt)
clothing attribute labels. See ATTRIBUTE LABELS section below for more info.
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Bounding Box Annotations (list_bbox_consumer2shop.txt)
bounding box labels. See BBOX LABELS section below for more info.
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Item Annotations (list_item_consumer2shop.txt)
item labels. See ITEM LABELS section below for more info.
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Fashion Landmark Annotations (list_landmarks_consumer2shop.txt)
fashion landmark labels. See LANDMARK LABELS section below for more info.
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Images (Img/)
consumer-to-shop clothes images. See IMAGE section below for more info.
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Evaluation Partitions (Eval/list_eval_partition.txt)
image pair names for training, validation and testing set respectively. See EVALUATION PARTITIONS section below for more info.
IMAGE
*.jpg
format: JPG
Notes: 1. The long side of images are resized to 300; 2. The aspect ratios of original images are kept unchanged.
BBOX LABELS
list_bbox_consumer2shop.txt
First Row: number of images
Second Row: entry names
Rest of the Rows: <image name> <clothes type> <source type> <bbox location>
Notes: 1. The order of bbox labels accords with the order of entry names; 2. In clothes type, "1" represents upper-body clothes, "2" represents lower-body clothes, "3" represents full-body clothes; 3. In source type, "1" represents shop image, "2" represents consumer image; 4. In bbox location, "x_1" and "y_1" represent the upper left point coordinate of bounding box, "x_2" and "y_2" represent the lower right point coordinate of bounding box. Bounding box locations are listed in the order of [x_1, y_1, x_2, y_2].
LANDMARK LABELS
list_landmarks_consumer2shop.txt
First Row: number of images
Second Row: entry names
Rest of the Rows: <image name> <clothes type> <variation type> [<landmark visibility 1> <landmark location x_1> <landmark location y_1>, ... <landmark visibility 8> <landmark location x_8> <landmark location y_8>]
Notes: 1. The order of landmark labels accords with the order of entry names; 2. In clothes type, "1" represents upper-body clothes, "2" represents lower-body clothes, "3" represents full-body clothes. Upper-body clothes possess six fahsion landmarks, lower-body clothes possess four fashion landmarks, full-body clothes possess eight fashion landmarks; 3. In variation type, "1" represents normal pose, "2" represents medium pose, "3" represents large pose, "4" represents medium zoom-in, "5" represents large zoom-in; 4. In landmark visibility state, "0" represents visible, "1" represents invisible/occluded, "2" represents truncated/cut-off; 5. For upper-body clothes, landmark annotations are listed in the order of ["left collar", "right collar", "left sleeve", "right sleeve", "left hem", "right hem"]; For lower-body clothes, landmark annotations are listed in the order of ["left waistline", "right waistline", "left hem", "right hem"]; For upper-body clothes, landmark annotations are listed in the order of ["left collar", "right collar", "left sleeve", "right sleeve", "left waistline", "right waistline", "left hem", "right hem"].
ITEM LABELS
list_items_consumer2shop.txt
First Row: number of items
Rest of the Rows:
Notes: 1. Please refer to the paper "DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations" for more details.
ATTRIBUTE LABELS
list_attr_cloth.txt
First Row: number of attributes
Second Row: entry names
Rest of the Rows: <attribute name (Chinese)> <attribute name (English)> <attribute type>
list_attr_type.txt
First Row: number of attribute types
Second Row: entry names
Rest of the Rows: <attribute type (Chinese)> <attribute type (English)>
list_attr_items.txt
First Row: number of items
Second Row: entry names
Rest of the Rows: <item id> <attribute labels>
Notes: 1. The order of attribute labels accords with the order of attribute names; 2. In attribute labels, "1" represents positive while "-1" represents negative, '0' represents unknown; 3. Attribute prediction is treated as a multi-label tagging problem.
EVALUATION PARTITIONS
list_eval_partition.txt
First Row: number of images
Second Row: entry names
Rest of the Rows: <image pair name 1> <image pair name 2> <item id> <evaluation status>
Notes: 1. In evaluation status, "train" represents training image, "val" represents validation image, "test" represents testing image; 2. The gallery set here are all the shop images in "val + test" set; 3. Items of clothes images are NOT overlapped within this dataset partition; 4. Please refer to the paper "DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations" for more details.