Annotations
Image annotations
The two files human_bbox_train.json and vehicle_bbox_train.json respectively contain the annotations of the pedestrians and vehicles in the images for training set. human_bbox_test.json and vehicle_bbox_test.json only contain image_filepath, image id and image size for testing set. Please note that for the results on the test set to submit, the image id should be the same as in the annotation file.
The annotation structure for people is as follows:
- image_filepath is the relative path of the image;
- "category" is the key that determines whether the target box is a pedestrian or a special area that needs to be ignored. A pedestrian can only be "person";
- "riding type" is not "null" only if "category" is "riding";
- "x" and "y" are floating point numbers between 0 and 1, representing the ratio of the coordinates to the width and height of the image, respectively.
The annotation structure for vehicles is as follows:
- image_filepath is the relative path of the image;
- "vehicles"refers to a dense vehicle group and should be ignored;
- "small car", "midsize car" and "large car" belong to motor vehicles with four or more wheels and are distinguished by vehicle size. "electric car" refers to an electric sightseeing car or patrol car, etc.;
- "x" and "y" are floating point numbers between 0 and 1, representing the ratio of the coordinates to the width and height of the image, respectively.
Video annotaitons
The annotation files for each video sequence in PANDA-Video include two: tracks.json and seqinfo.json respectively contain the pedestrian trajectory annotation and the basic information of the video sequence. The annotation file for each video sequence is stored in a folder named after the scene name.
The annotation structure is as follows:
- both "frame id" and "track id" count from 1;
- in "face orientation", "front" means facing the camera;
- in "occlusion", "normal" means the occlusion rate is less than 10%, "hide" means the occlusion rate is between 10% and 50%, "serious hide" means the occlusion rate is greater than 50%, and "disappear" means the object completely disappears;
- "x" and "y" are floating point numbers between 0 and 1, representing the ratio of the coordinates to the width and height of the image, respectively.
