About Us
We focused on:
- Cloud Labeling
- Cloud Training
- Cloud Inference
Visit the detailed document.
DocumentSuccessful use cases
![](assets/img/case1.png)
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.
![](assets/img/case2.png)
Dendritic Spine Analysis
CloudLabeling enables the automatic detection and recognition in nano-scale bio-images.
![](assets/img/case3.png)
Fish Behavior Analysis
CloudLabeling enables automatic detection and tracking of fish for behavior analysis.
![](assets/img/case4.png)
Satellite Imaging
CloudLabeling enables the mapping of assets from satellite images .
![](assets/img/case5.png)
Overfishing prevention
CloudLabeling enables the automatic recognition of catching fish for regulation purposes
Team
![](assets/img/team/bernard.png)
Bernard Ghanem
Associate Professor![](assets/img/team/cheng.png)
Cheng Zheng
Software Engineer Consultant![](assets/img/team/silvio.jpeg)
Silvio Giancola
Research Scientist![](assets/img/team/ali.png)
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.