About Us
We focused on:
- Cloud Labeling
- Cloud Training
- Cloud Inference
Visit the detailed document.
DocumentSuccessful 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.
Satellite Imaging
CloudLabeling enables the mapping of assets from satellite images .
Overfishing prevention
CloudLabeling enables the automatic recognition of catching fish for regulation purposes
Team
Bernard Ghanem
Associate Professor
Cheng Zheng
Software Engineer Consultant
Silvio Giancola
Research Scientist
Ali Thabet
Research ScientistFrequently Asked Questions
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How can I use CloudLabeling?
You can follow the tutorial on https://cloudlabeling.readthedocs.io.
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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(silvio.giancola@kaust.edu.sa). More information in our documentation.
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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.
Contact
Location:
King Abdullah University of Science and Technology, Thuwal, 23955
Building:
Building 1
Website:
Acknowledgment
Our frontend online labeling pages are mainly based on this open-source project: makesense.ai.