Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Collection of left and right RGB view as well as disparity for the left view in Airsim Building_99 simulation environment. Made by Benjamin Keltjens, Tom van Dijk and Guido de Croon using Microsoft Airsim. Used for training for Filled Disparity Monodepth' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Computer Vision","Monocular Depth Estimation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Collection of left and right RGB view as well as disparity for the left view in Airsim Building_99 simulation environment. Made by Benjamin Keltjens, Tom van Dijk and Guido de Croon using Microsoft Airsim. Used for training for Filled Disparity Monodepth' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Collection of left and right RGB view as well as disparity for the left view in Airsim Building_99 simulation environment. Made by Benjamin Keltjens, Tom van Dijk and Guido de Croon using Microsoft Airsim. Used for training for Filled Disparity Monodepth
Computer Vision; Monocular Depth Estimation