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We focused on:
- Cloud Labeling
- Cloud Training
- Cloud Inference
Visit the detailed document.
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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.
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CloudLabeling enables the automatic detection and recognition in nano-scale bio-images.
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CloudLabeling enables automatic detection and tracking of fish for behavior analysis.
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CloudLabeling enables the mapping of assets from satellite images .
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CloudLabeling enables the automatic recognition of catching fish for regulation purposes
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Associate Professor
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Research Scientist
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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.
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King Abdullah University of Science and Technology, Thuwal, 23955
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Building 1
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Our frontend online labeling pages are mainly based on this open-source project: makesense.ai.