model_zoo.md

Paddle2ONNX supports converting PaddlePaddle model to ONNX format.

Due to the differences between frameworks, some models may not be supported. If you meet any problem such as converting failure or inference error，you can raise a issue in ISSUE.

Image classification

Comprehensive coverage of image classification models，now we support the whole series model in PaddlClas release/2.1.

Models	Source
ResNet series	PaddleClas
Mobile series	PaddleClas
SEResNeXt and Res2Net series	PaddleClas
DPN and DenseNet series	PaddleClas
HRNet series	PaddleClas
Inception series	PaddleClas
EfficientNet and ResNeXt101_wsl series	PaddleClas
ResNeSt and RegNet series	PaddleClas

OCR

Support CRNN(Text Detection Model), DB(Text Recognition Model) and Text Angle Classification Model. Test models are form PaddleOCR dygraph branch.

Models	Source
Chinese and English ultra-lightweight OCR model (9.4M)	PaddleOCR
Chinese and English general OCR model (143.4M)	PaddleOCR

Image segmentation

Support UNet, HRNet, DeepLab and so on. Test models are from PaddleSeg release/v2.0.0-rc branch。

Models	Source
BiSeNet	PaddleSeg
DANet	PaddleSeg
DeepLabv3	PaddleSeg
Deeplabv3P	PaddleSeg
FCN	PaddleSeg
GCNet	PaddleSeg
OCRNet	PaddleSeg
UNet	PaddleSeg

object detection

Support 8 object detection archtectures. Test models are from PaddleDetection release/2.1

Models	Source
YOLO-V3	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/
PPYOLO	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/
PPYOLO-Tiny	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/
PPYOLO-V2	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/
TTFNet	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/
PAFNet	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/
SSD	https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/