GSV-Cities
Introduced by Ali-bey et al. in GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
GSV-Cities is a large-scale dataset for training deep neural network for the task of Visual Place Recognition.
The dataset contains more than 530k images:
- There are more than 62k different places, spread across multiple cities around the globe.
- Each place is depited by at least 4 images (up to 20 images).
- All places are physically distant (at least 100 meters between any pair of places).
Papers
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