# MARS ## Format specification MARS is a dataset for the motion analysis and person identification task. MARS dataset is available for downloading [here](https://zheng-lab.cecs.anu.edu.au/Project/project_mars.html) Supported types of annotations: - `Bbox` Required attributes: - `person_id` (str): four-digit number that represent ID of pedestrian; - `camera_id` (int): one-digit number that represent ID of camera that took the image (original dataset has totally 6 cameras); - `track_id` (int): four-digit number that represent ID of the track with the particular pedestrian; - `frame_id` (int): three-digit number, that mean number of frame within this track. For the tracks, their names are accumulated for each ID, but for frames, they start from "0001" in each track. ## Import MARS dataset Use these instructions to import MARS dataset into Datumaro project: ```bash datum project create datum project add -f mars ./dataset ``` > Note: the directory with dataset should be subdirectory of the > project directory. ``` mars_dataset ├── │ ├── 0001 # directory with images of pedestrian with id 0001 │ │ ├── 0001C1T0001F001.jpg │ │ ├── 0001C1T0001F002.jpg │ │ ├── ... │ ├── 0002 # directory with images of pedestrian with id 0002 │ │ ├── 0002C1T0001F001.jpg │ │ ├── 0002C1T0001F001.jpg │ │ ├── ... │ ├── 0000 # distractors images, which negatively affect retrieval accuracy. │ │ ├── 0000C1T0001F001.jpg │ │ ├── 0000C1T0001F001.jpg │ │ ├── ... │ ├── 00-1 # junk images which do not affect retrieval accuracy │ │ ├── 00-1C1T0001F001.jpg │ │ ├── 00-1C1T0001F001.jpg │ │ ├── ... ├── │ ├── ... ├── ... ``` All images in MARS dataset follow a strict convention of naming: ``` xxxxCxTxxxxFxxx.jpg ``` - the first four digits indicate the pedestrian's number; - digit after `C` indicates the camera id; - four digits after `T` indicate the track id for this pedestrian; - three digits after `F` indicate the frame id with this track. > Note: there are two specific pedestrian IDs 0000 and 00-1 > which indicate distracting images and unwanted images respectively.