DeepLab is a state-of-art deep learning model for semantic image segmentation. For details see paper.
Metric | Value |
---|---|
Type | Semantic segmentation |
GFLOPs | 11.469 |
MParams | 23.819 |
Source framework | TensorFlow* |
Metric | Value |
---|---|
mean_iou | 66.85% |
Image, name: ImageTensor
, shape: [1x513x513x3], format: [BxHxWxC], where:
Expected color order: RGB.
Image, name: mul_1/placeholder_port_1
, shape: [1x3x513x513], format: [BxCxHxW], where:
Expected color order: BGR.
Integer values in a range [0, 20], which represent an index of a predicted class for each image pixel. Name: ArgMax
, shape: [1x513x513] in [BxHxW] format, where
- B - batch size - H - image height - W - image width
Integer values in a range [0, 20], which represent an index of a predicted class for each image pixel. Name: ArgMax/Squeeze
, shape: [1x513x513] in [BxHxW] format, where
- B - batch size - H - image height - W - image width
The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in APACHE-2.0-TensorFlow.txt.