CrowdHuman_train01.zip [Baidu Drive] [Google Drive]
CrowdHuman_train02.zip [Baidu Drive] [Google Drive]
CrowdHuman_train03.zip [Baidu Drive] [Google Drive]
CrowdHuman_val.zip [Baidu Drive] [Google Drive]
annotation_train.odgt [Baidu Dirve] [Google Drive]
annotation_val.odgt [Baidu Drive] [Google Drive]
CrowdHuman_test.zip
[Baidu Drive] Fetch Code: cr7k
[Google Drive]
We support annotation_train.odgt
and annotation_val.odgt
which contains the annotations of our dataset.
odgt
is a file format that each line of it is a JSON, this JSON contains the whole annotations for the relative image. We prefer using this format since it is reader-friendly.
JSON{
"ID" : image_filename,
"gtboxes" : [gtbox],
}
gtbox{
"tag" : "person" or "mask",
"vbox": [x, y, w, h],
"fbox": [x, y, w, h],
"hbox": [x, y, w, h],
"extra" : extra,
"head_attr" : head_attr,
}
extra{
"ignore": 0 or 1,
"box_id": int,
"occ": int,
}
head_attr{
"ignore": 0 or 1,
"unsure": int,
"occ": int,
}
Keys
in extra
and head_attr
are optional, it means some of them may not existextra/head_attr
contains attributes for person/head
tag
is mask
means that this box is crowd/reflection/something like person/...
and need to be ignore
(the ignore
in extra
is 1
)vbox, fbox, hbox
means visible box, full box, head box
respectivelyTerms of use: by downloading the image data you agree to the following terms: