


# depth(?) overlap TrainData

Approximately 100,000 images

For extracting overlap information with ControlNet

## example 1

![example 1 train](sample/000adad0-657b-4ce4-93d2-159f3ca80798.png)


![example 1 label](sample/000adad0-657b-4ce4-93d2-159f3ca80798-label.png)

## example 2

![example 2 train](sample/0000c1cd-30d9-42e8-82ae-9109ca6be939.png)


![example 2 label](sample/0000c1cd-30d9-42e8-82ae-9109ca6be939-label.png)


region:us
{}
TAGS
#region-us 




# depth(?) overlap TrainData

Approximately 100,000 images

For extracting overlap information with ControlNet

## example 1

!example 1 train


!example 1 label

## example 2

!example 2 train


!example 2 label


# depth(?) overlap TrainData

Approximately 100,000 images

For extracting overlap information with ControlNet ## example 1

!example 1 train


!example 1 label ## example 2

!example 2 train


!example 2 label
TAGS
#region-us 
 # depth(?) overlap TrainData

Approximately 100,000 images

For extracting overlap information with ControlNet ## example 1

!example 1 train


!example 1 label ## example 2

!example 2 train


!example 2 label
passage: TAGS
#region-us 
# depth(?) overlap TrainData

Approximately 100,000 images

For extracting overlap information with ControlNet## example 1

!example 1 train


!example 1 label## example 2

!example 2 train


!example 2 label