PASCAL VOC2007 Example Segmentations
Below are training examples for the segmentation taster, each consisting of:
- the training image
- the object segmentation
pixel indices correspond to the first, second, third
object etc.
- the class segmentation
pixel indices correspond to classes in alphabetical order (1=aeroplane, 2=bicycle,
3=bird, 4=boat, 5=bottle, 6=bus, 7=car , 8=cat, 9=chair, 10=cow, 11=diningtable,
12=dog, 13=horse, 14=motorbike, 15=person, 16=potted plant, 17=sheep, 18=sofa, 19=train,
20=tv/monitor)
For both types of segmentation image, index 0 corresponds to background and index
255 corresponds to 'void' or unlabelled.
Image | Object segmentation | Class segmentation | | Image | Object segmentation | Class segmentation |
![](images/000661.jpg) |
![](images/000661_object.png) |
![](images/000661_class.png) |
| ![](images/004707.jpg) |
![](images/004707_object.png) |
![](images/004707_class.png) |
![](images/006585.jpg) |
![](images/006585_object.png) |
![](images/006585_class.png) |
| ![](images/006004.jpg) |
![](images/006004_object.png) |
![](images/006004_class.png) |
![](images/009323.jpg) |
![](images/009323_object.png) |
![](images/009323_class.png) |
| ![](images/007109.jpg) |
![](images/007109_object.png) |
![](images/007109_class.png) |
![](images/003957.jpg) |
![](images/003957_object.png) |
![](images/003957_class.png) |
| ![](images/007523.jpg) |
![](images/007523_object.png) |
![](images/007523_class.png) |
![](images/006281.jpg) |
![](images/006281_object.png) |
![](images/006281_class.png) |
| ![](images/006241.jpg) |
![](images/006241_object.png) |
![](images/006241_class.png) |
![](images/005368.jpg) |
![](images/005368_object.png) |
![](images/005368_class.png) |
| ![](images/004856.jpg) |
![](images/004856_object.png) |
![](images/004856_class.png) |
![](images/009911.jpg) |
![](images/009911_object.png) |
![](images/009911_class.png) |
| ![](images/002293.jpg) |
![](images/002293_object.png) |
![](images/002293_class.png) |
![](images/004392.jpg) |
![](images/004392_object.png) |
![](images/004392_class.png) |
| ![](images/006212.jpg) |
![](images/006212_object.png) |
![](images/006212_class.png) |
![](images/004951.jpg) |
![](images/004951_object.png) |
![](images/004951_class.png) |
| ![](images/002284.jpg) |
![](images/002284_object.png) |
![](images/002284_class.png) |
![](images/002427.jpg) |
![](images/002427_object.png) |
![](images/002427_class.png) |
| ![](images/002055.jpg) |
![](images/002055_object.png) |
![](images/002055_class.png) |
![](images/000830.jpg) |
![](images/000830_object.png) |
![](images/000830_class.png) |
| ![](images/005828.jpg) |
![](images/005828_object.png) |
![](images/005828_class.png) |
![](images/001901.jpg) |
![](images/001901_object.png) |
![](images/001901_class.png) |
| ![](images/008203.jpg) |
![](images/008203_object.png) |
![](images/008203_class.png) |
![](images/000061.jpg) |
![](images/000061_object.png) |
![](images/000061_class.png) |
| ![](images/005281.jpg) |
![](images/005281_object.png) |
![](images/005281_class.png) |
![](images/008948.jpg) |
![](images/008948_object.png) |
![](images/008948_class.png) |
| ![](images/005210.jpg) |
![](images/005210_object.png) |
![](images/005210_class.png) |
![](images/002376.jpg) |
![](images/002376_object.png) |
![](images/002376_class.png) |
| ![](images/001149.jpg) |
![](images/001149_object.png) |
![](images/001149_class.png) |