LADD-utils is a set of utils and tools to convert and augument datasets for lacmus neural networks.
Lacmus Drone Dataset (LaDD) is a dataset of drone created images for pedestrian detection. LADD annotations are into VOC format.
You can download the LADD from Mail.Cloud directly.
-
You can see a example of the labeled image.
We have just one kind of label :
- 0 - Pedestrian
-
The structure of the
LADD_VERSION_SIZON
├── LaDD │ ├── Annotations │ │ └── X.xml │ ├── examples │ │ └── X.jpg (10 items) │ ├── ImageSets │ │ └── Main │ │ # *.txt which split the dataset │ │ ├── test.txt │ │ ├── train.txt │ │ ├── trainval.txt │ │ └── val.txt │ ├── JPEGImages │ │ └── X.jpg │ └── Description.pdf
-
The
JPEGImages
:- Image Type : jpeg(JPEG)
- Width x Height : 4000 x 3000
-
The
Annotations
: The VOC format.xml
for Object Detection, automatically generate by the label tools. Below is an example of.xml
file.
<annotation>
<folder>VocGalsTfl</folder>
<filename>0</filename>
<source>
<database>Unknown</database>
</source>
<size>
<width>4000</width>
<height>3000</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>Pedestrian</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1881</xmin>
<ymin>1409</ymin>
<xmax>1905</xmax>
<ymax>1469</ymax>
</bndbox>
</object>
<object>
...
</object>
</annotation>
The dataset is divided into 3 seasons: summer, spring and summer. All files are stored in archives LaDD_VERSION_SIZON_NUMBER
and are numb. You can independently collect your dataset. To do this, simply merge the corresponding folders and contents of text files into one.
You can also use our official tools.
LADD is licensed under GNU General Public License v3.0. You can read the license text here.
This license applies not only to the dataset, but also to ALL SOFTWARE products that use it to one degree or another.