We focused on:
- Cloud Labeling
- Cloud Training
- Cloud Inference
Visit the detailed document.Document
Successful use cases
Seed Germination Counting
CloudLabeling enables the automatic detection of germinated and non-germinated seeds in microscopic images. SeedQuant is powered by CloudLabeling for the high-throughput counting and automatic estimation of germination ratio.
Dendritic Spine Analysis
CloudLabeling enables the automatic detection and recognition in nano-scale bio-images.
Fish Behavior Analysis
CloudLabeling enables automatic detection and tracking of fish for behavior analysis.
CloudLabeling enables the mapping of assets from satellite images .
CloudLabeling enables the automatic recognition of catching fish for regulation purposes
Bernard GhanemAssociate Professor
Cheng ZhengSoftware Engineer Consultant
Silvio GiancolaResearch Scientist
Ali ThabetResearch Scientist
Frequently Asked Questions
How can I use CloudLabeling?
You can follow the tutorial on https://cloudlabeling.readthedocs.io.
How can I create an account?
CloudLabeling is in limited access for hand-picked project. Please request your access by sending en email to Silvio Giancola(firstname.lastname@example.org). More information in our documentation.
How can I integrate CloudLabeling in my workflow?
We provide a set of APIs for remote inference in our server. More information in our documentation.
King Abdullah University of Science and Technology, Thuwal, 23955
Our frontend online labeling pages are mainly based on this open-source project: makesense.ai.