opencv/samples/dnn/README.md

OpenCV deep learning module samples

Model Zoo

Object detection

Model	Scale	Size WxH	Mean subtraction	Channels order
MobileNet-SSD, Caffe	0.00784 (2/255)	300x300	127.5 127.5 127.5	BGR
OpenCV face detector	1.0	300x300	104 177 123	BGR
SSDs from TensorFlow	0.00784 (2/255)	300x300	127.5 127.5 127.5	RGB
YOLO	0.00392 (1/255)	416x416	0 0 0	RGB
VGG16-SSD	1.0	300x300	104 117 123	BGR
Faster-RCNN	1.0	800x600	102.9801, 115.9465, 122.7717	BGR
R-FCN	1.0	800x600	102.9801 115.9465 122.7717	BGR

Classification

Model	Scale	Size WxH	Mean subtraction	Channels order
GoogLeNet	1.0	224x224	104 117 123	BGR
SqueezeNet	1.0	227x227	0 0 0	BGR

Semantic segmentation

Model	Scale	Size WxH	Mean subtraction	Channels order
ENet	0.00392 (1/255)	1024x512	0 0 0	RGB
FCN8s	1.0	500x500	0 0 0	BGR

References

• Models downloading script
• Configuration files adopted for OpenCV
• How to import models from TensorFlow Object Detection API
• Names of classes from different datasets