Mapillary Street-level Sequences (MSLS) is a large-scale long-term place recognition dataset that contains 1.6M street-level images.
- โฌ๏ธ Download: https://www.mapillary.com/dataset/places
- ๐ Paper: https://research.mapillary.com/publication/cvpr20c
images_vol_X.zip
: images, split into 6 parts for easier downloadmetadata.zip
: a single zip archive containing the metadata
All the archives can be extracted in the same directory resulting in the following tree:
- train_val
city
- query / database
- images/
key
.jpg - seq_info.csv
- subtask_index.csv
- raw.csv
- postprocessed.csv
- images/
- query / database
- test
city
- query / database
- images/
key
.jpg - seq_info.csv
- subtask_index.csv
- images/
- query / database
The meta files include the following information:
-
raw.csv: raw data recorded during capture
- key
- lon
- lat
- ca
- captured_at
- pano
-
seq_info.csv: Sequence information
- key
- sequence_id
- frame_number
-
postprocessed.csv: Data derived from the raw images and metadata
- key
- utm (easting and northing)
- night
- control_panel
- view_direction (Forward, Backward, Sideways)
- unique_cluster
-
subtask_index.csv: Precomputed image indices for each subtask in order to evaluate models on (all, summer2winter, winter2summer, day2night, night2day, old2new, new2old)