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Red Sea Fish Dataset
Dataset Description
The Red Sea Fish Dataset is a specialized collection of fish images captured using a stationary ViewIntoTheBlue 360° underwater camera system (https://www.viewintotheblue.com/). This dataset features various fish species native to the Red Sea, providing labeled data for marine life identification and monitoring.
Overview
- Task: Image classification/detection of Red Sea fish species
- Camera System: ViewIntoTheBlue 360° underwater camera (stationary deployment)
- Region: Red Sea
- Dataset Size: 1,054 total frames
- Training set: 854 frames
- Validation set: 200 frames
- Number of Classes: 43 distinct fish species/categories
Species Included
The dataset includes the following fish species:
- Arabian Angelfish
- Arabian Bluestriped Snapper
- Barracudas
- Big Squirrelfish
- Black Surgeonfish
- Blackspotted Rubberlips
- Blacktail Dartfish
- Bluefin Trevally
- Bluespine Unicornfish
- Breams
- Emperor
- Fourline Wrasse
- Humpback Snapper
- Longnose Parrotfish
- Lutjanus
- Malabar Grouper
- Mangrove Red Snapper
- Moon Wrasse
- Moonfish
- Onespot Snapper
- Picasso Triggerfish
- Rabbitfish
- Racoon Butterflyfish
- Redbreasted Wrasse
- Red Sea Bannerfish
- Red Sea Demoiselle
- Red Sea Goatfish
- Sky Emperor
- Small Threeline Damselfish
- Smalltooth Emperor
- Sohl Surgeonfish
- Splendour Wrasse
- Squirrelfish
- Striated Fusilier
- Striated Surgeonfish
- Threeline Damselfish
- Titan Triggerfish
- Unknown
- Unknown Damselfish
- Unknown Grouper
- Unknown Parrotfish 1
- Whitefaced Butterflyfish
- Yellowfin Hind
Dataset Structure
The dataset is organized into two main splits:
- Training set (
train): 854 frames - Validation set (
valid): 200 frames
Each split contains:
- Image files in the
imgsdirectory - Corresponding annotation files in JSON format in the
annotationsdirectory
Annotation Format
Each annotation file is in JSON format and contains:
- Image filename
- Species identification
- [Add additional annotation details if available]
Usage
This dataset can be used for:
- Training computer vision models for fish species identification
- Underwater marine life monitoring
- Ecological studies of Red Sea fish populations
- Development of automated fish counting systems
Citation
If you use this dataset in your research, please cite:
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