Deep Convolutional Neural Network model for semantic segmentation.
DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the various datasets. It uses MobileNet as a backbone.
Model checkpoint:VOC2012
Input resolution:513x513
Number of output classes:21
Number of parameters:5.80M
Model size (float):22.2 MB
Model size (w8a16):6.67 MB
Anomaly Detection
Inventory Management
Source Model: MIT
Deployable Model: AI-HUB-MODELS-LICENSE