Difference between revisions of "Training Projects"
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[https://drive.google.com/file/d/1r_2DNOF2WSFXdJLp7mditL5Wp4wbpOyR/view?usp=sharing Dataset] | [https://drive.google.com/file/d/1r_2DNOF2WSFXdJLp7mditL5Wp4wbpOyR/view?usp=sharing Dataset] | ||
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[https://drive.google.com/file/d/1q55Q3wHfeRwD_gkuMMrRZcT_Vbtz1qG7/view?usp=sharing Download Instructions] | [https://drive.google.com/file/d/1q55Q3wHfeRwD_gkuMMrRZcT_Vbtz1qG7/view?usp=sharing Download Instructions] | ||
Revision as of 19:14, 19 April 2021
DeepSense has compiled a few data sets for students, and others interested in the ocean and AI, so they can have the opportunity to complete AI projects independently. We hope participants can learn about a specific type of ocean related data, and experience an explicit AI project. It is expected that the participants work on the project alone, but we have provided some guidance that includes notebooks, data, outputs and models to try to improve upon.
We have found that the data cleaning step can take a long time, so our hope is that these datasets will be reasonably clean, allowing the participants to explore ocean AI.
Object Detection
We used the google open images database to obtain approximately 650 images of starfish. The metadata includes coordinates for bounding boxes around the starfish.
