Initiative #58
Phytoplankton image classification model
Listed in the registry Pilot Original language : English
About the initiative
Description of the initiative
Create a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete steps to this project: 1) create a library of annotated images for model training; 2) creation and refinement of the CNN model. Convolutional Neural Network, InceptionV3 and ResNet
AI family
- AI sub-category
- Computer Vision
- AI capability
- Species Identification and Biological Annotation
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Same AI sub-category (Computer Vision): they could share a solution.
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Lifecycle
-
Ideation
Stage status : Completed
May 29, 2025
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Assessment
Stage status : Completed
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Approved
Stage status : Completed
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Development
Stage status : Completed
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Pilot
Stage status : In progress
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
- Ideation
A similar need?
Nobody has come forward yet. If your team faces the same problem, say so: it helps bring initiatives together and share a solution.
Contacts
- Requester
- Quan, Eric
- Sector contact
- Covert, Paul
- Subject matter expert
- Covert, Paul
Data and tools
- Sector
- Ecosystems and Oceans Science
- Region
- Pacific
- Submitted on
- May 29, 2025