DeepLabXception

简介

Deep Convolutional Neural Network model for semantic segmentation.
DeepLabXception is a semantic segmentation model supporting multiple backbones like ResNet‑101 and Xception, with flexible dataset compatibility including COCO, VOC, and Cityscapes.

效果视频

规格与下载

技术细节

Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:480x520
Number of output classes:21
Number of parameters:41.26M
Model size (float):158 MB

应用领域

Anomaly Detection
Inventory Management

授权信息

Source Model: BSD-3-CLAUSE
Deployable Model: AI-HUB-MODELS-LICENSE