Please provide the following information when requesting support.
• Hardware : not relevant
• Network Type: Segmentation
• TLT Version : docker_tag: v3.0-py3
• Training spec file : not relevant
• How to reproduce the issue ?
ngc registry model list nvidia/tlt_semantic_segmentation:*
The result :
Question : is it normal that the VGG16 has better accuracy and is larger in size/memory foot print than VGG19, or is it just a typo (maybe inverted rows/model names) ?