Diatom Detection Dataset
Diatom Detection Dataset
Datasets
Diatom Detection Dataset
File
Diatom Detection Dataset
Use Case
Diatom Detection Dataset
Description
Explore a high-resolution diatom detection dataset with 2,197 color images and 3,027 diatoms from 68 species. Ideal for ecological studies
Description:
This dataset focuses on the accurate detection, segmentation, and classification of diatoms, a prevalent group of algae essential for monitoring water quality and ecological changes. Diatoms contribute significantly to the planet’s oxygen production.
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Dataset Details
- Total Images: 2,197 color images
- Diatoms: 3,027 diatoms from 68 species
- Image Resolution: 2112×1584 pixels
- Folders:
- images: Contains all original microscopic diatom images.
- annotations: Contains the annotations for each diatom image.
Additional Content
- Purpose: This dataset aids in ecological studies, environmental monitoring, and water quality assessment.
- Applications: Useful in marine biology, environmental science, and AI research for developing robust algorithms in image processing and classification.
- Annotation Details: Annotations include precise boundaries and labels for each diatom, enabling detailed segmentation and classification tasks.
- Challenges: Due to the diversity of species and varying image quality, this dataset provides a challenging benchmark for developing accurate detection and classification models.
This dataset is sourced from Kaggle.
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