VEDAI
VEDAI dataset prepared for darknet implementation
All images converted to .jpg
All annotations are standartized to <object-class> <x> <y> <width> <height>
, where:
<object-class>
- integer number of object from 0 to (classes-1)<x> <y> <width> <height>
- float values relative to width and height of image, it can be equal from 0.0 to 1.0- for example:
<x> = <absolute_x> / <image_width> or <height> = <absolute_height> / <image_height>
- atention:
<x> <y>
- are center of rectangle (are not top-left corner)
Classes:
0 - car
1 - truck
2 - pickup
3 - tractor
4 - camping car
5 - boat
6 - motorcycle
7 - bus
8 - van
9 - other
10 - small
11 - large
List of excluded images
You can find it in /unmarked
00000024.jpg
00000039.jpg
00000522.jpg
00000606.jpg
00000887.jpg
00001185.jpg
00000028.jpg
00000424.jpg
00000560.jpg
00000717.jpg
00001143.jpg
00001244.jpg
00000034.jpg
00000425.jpg
00000600.jpg
00000878.jpg
00001145.jpg
00001248.jpg