Published November 7, 2019
| Version 1.0
Dataset
Open
Sidewalk Environment for Visual Navigation
Creators
- 1. Mila, Université de Montréal
- 2. Mila, University of Sherbrooke
- 3. Mila, Polytechnique Montréal
- 4. Mila, McGill University
- 5. Mila, Université de Montréal, ElementAI
- 6. Mila, Polytechnique Montréal, ElementAI
Description
This dataset contains low and high resolution panoramic images, coordinates, labels and a connectivity graph. In order to run this simulated environment, you will need at least one copy of the panoramic images, which are available in low (84x224 pixels) or high resolution (1280x3840 pixels). For more information, visit https://mweiss17.github.io/SEVN/.
Files
high-res-panos.zip
Files
(29.7 GB)
Name | Size | Download all |
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md5:9d2d6f17aa31c9cb8309195cf2da00f9
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419.8 kB | Download |
md5:f68be888e8f3b964544678070689b777
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2.8 MB | Download |
md5:1e46ca1de01cdba68b0e9ff7de6dc3df
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27.8 GB | Preview Download |
md5:f8e570b8232efba23dfc53cc9c9d0b2c
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1.9 GB | Download |
md5:36e24d0ee0b2f351282f3b84aa5d5d56
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351.4 kB | Download |