Skip to content

Latest commit

 

History

History
99 lines (63 loc) · 3.85 KB

LANDMARK_DETECT_DATASET.md

File metadata and controls

99 lines (63 loc) · 3.85 KB

LandmarkDetectDataset

  • Annotations (Anno/)

    • Bounding Box Annotations (list_bbox.txt)

      bounding box labels. See BBOX LABELS section below for more info.

    • Human Joint Annotations (list_joints.txt)

      human joint labels. See JOINT LABELS section below for more info.

    • Fashion Landmark Annotations (list_landmarks.txt)

      fashion landmark labels. See LANDMARK LABELS section below for more info.

  • Images (Img/)

    clothes images. See IMAGE section below for more info.

  • Evaluation Partitions (Eval/list_eval_partition.txt)

    image 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 512;
  2. The aspect ratios of original images are kept unchanged.

BBOX LABELS

list_bbox.txt

First Row: number of images
Second Row: entry names
Rest of the Rows: <image name> <bbox location>

Notes:

  1. The order of bbox labels accords with the order of entry names;
  2. 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.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 fashion 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"].

JOINT LABELS

list_joints.txt

First Row: number of images
Second Row: entry names
Rest of the Rows: <image name> <clothes type> <variation type> [<joint visibility 1> <joint location x_1> <joint location y_1>, ... <joint visibility 14> <joint location x_14> <joint location y_14>]

Notes:

  1. The order of joint labels accords with the order of entry names. Overall there are fourteen human joints;
  2. In clothes type, "1" represents upper-body clothes, "2" represents lower-body clothes, "3" represents full-body clothes;
  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.

EVALUATION PARTITIONS

list_eval_partition.txt

First Row: number of images
Second Row: entry names
Rest of the Rows: <image name> <evaluation status>

Notes:

  1. In evaluation status, "train" represents training image, "val" represents validation image, "test" represents testing image;
  2. Please refer to the paper "Fashion Landmark Detection in the Wild" for more details.