Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
<|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:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training' . 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" : ["Classification","Detection","Human","Point Cloud","RGB-D","Vision"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training
Classification; Detection; Human; Point Cloud; RGB-D; Vision