Resnet50--Image-Classification-Inference.xml res-md.xsd (Version 1)

Resnet50 Image Classification Inference

Resource Type: PluginLocal ID: https://wipp-plugins.nist.gov/pid/rest/local/cdcs/QORYUDGISAM7CO2E0TIOStatus: active

Identity

Title: Resnet50 Image Classification Inference Alt Title: Resnet50 Model-based Image Classification Inference (type: AlternativeTitle) Version: 1.0.1

Providers

Publisher: National Institute of Standards and Technology Publication Year: 2020
Creator Name: Michael Majurski Creator Affiliation: NIST
Contact Name: WIPP team Contact Email Address: [email protected]

Content

Description: Resnet50 model is applied to classify each image in a collection into one of many labels (classification task). Subject: classification Reference: Residual Learning for Image Recognition., Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian SunDeep, 10 Dec 2015. arXiv:1512.03385v1

Role

Type: Plugin Docker Image: wipp/wipp-resnet50-classification-inference-plugin:1.0.1
Plugin Manifest Plugin Manifest URL: https://raw.githubusercontent.com/usnistgov/image-classification-resnet50/master/pluginInference.json

Applicability

Data Type Images: Images
Data Type Csv: CSV files
Computational Method Ai: AI
Hardware Requirements Gpu: GPU

Access

Policy Restriction: public Policy Terms URL: https://www.nist.gov/disclaimer