Application
- Name
- United Kingdom Flower Classification App
- Type
- Gradio App
- URL
- https://flower-classification.serve.scilifelab.se
- Source Code
- https://github.com/ScilifelabDataCentre/gradio-flower-classification
- Image
- ghcr.io/scilifelabdatacentre/gradio-flower-classification:20241118-174426
- Created
- 18 Nov, 2024
- Updated
- 19 Nov, 2024
- Tags
- image-classification
This app allows users to input an image (in jpeg format) of a flower and get a prediction on what type of flower it is from a machine learning model. Top three most likely flower types according to the model’s prediction are shown.
Software
- Type
- Cloud Application
- Operating System
- Kubernetes
- Version
- ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.1.0
Resource
Project
- Name
- Flower classification
- Created
- 20 Dec, 2023
Owner
Arnold Kochari
arnold.kochari@scilifelab.uu.se
Institute for Genetics, Immunology, and Pathology
Uppsala universitet (Uppsala University)
