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An Image AI Dataset for Deep-sea Organism Detection
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- Nishio Takaki
- Creator
- JAMSTEC
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- Kawae Yuki
- Creator
- JAMSTEC
Metadata
- Published
- 2025
- Available Date
- 2025
- Resource Type
- Dataset
- Rights Information
-
- The copyright of the dataset belongs to JAMSTEC.Please refer to JAMSTEC's web page (https://www.jamstec.go.jp/e/database/data_policy.html) for details of the data policy. The dataset is licensed under CC BY-NC-SA 4.0.Please refer to the dataset download page (https://www.godac.jamstec.go.jp/jedi/e/dataset/jedi_organism_detection_dataset.html) for details of the conditions of use.
- JAMSTEC Data Policy
- CC BY-NC-SA 4.0
- DOI
-
- 10.17596/0004035
- Publisher
- JAMSTEC
- Creator Name (e-Rad)
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- Nishio Takaki
- Kawae Yuki
Description
This is an AI training dataset for detecting organisms from images taken during deep-sea survey. The detection targets are labeled into 19 rough categories such as "shrimp" and "fish". The dataset consists of over 8,000 images sliced from JAMSTEC's deep-sea survey videos on "JAMSTEC E-library of Deep-sea Images (J-EDI)" and COCO (Common Objects in Context) format JSON including bounding boxes and labels. The dataset can be downloaded as a zip file.
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Keywords
Details 詳細情報について
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- CRID
- 1460021990391344384
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- DOI
- 10.17596/0004035
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- Text Lang
- en
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- Data Source
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- JaLC