This is a 2D Object Detection dataset, collected by AGI using Robotti equipped with a front and back camera. The dataset is split in train and test sets, and each of these is split in two subsets: a) images depicting humans, and b) images with no humans. The dataset is annotated using the labelImg tool in VOC style .xml format.
| set | # humans | # no humans | total |
|---|---|---|---|
| train | 81 | 325 | 406 |
| test | 79 | 324 | 403 |
The dataset can be downloaded in zip format using:
wget ftp://opendrdata.csd.auth.gr/datasets/agi_humans/agi_humans_v1.zip
If using opendr data format, the dataset can be downloaded automatically:
from opendr_datasets import AGIHumans
path = 'data/agi_humans'
dataset = AGIHumans(path)
# the AGIHumans class will search the directory given by `path'
# if it doesn't exist or it's empty, the dataset will be downloaded
# and unzipped in the specified directoryExample usage in notebook format can be found here.
Citation TBA.