Esefjorden Marine Vegetation Segmentation Dataset (EMVSD)

Esefjorden Marine Vegetation Segmentation Dataset (EMVSD):Comprising 17,000 meticulously labeled images, this dataset is suited for instance segmentation tasks and represents a significant leap forward for marine research in the region. The images are stored in YOLO and COCO formats, ensuring compatibility with widely recognized and adopted object detection frameworks. Our decision to make this dataset publicly accessible underscores our commitment to collaborative research and the advancement of the broader scientific community.Dataset Structure:- Images: - Organized into three subsets: `train`, `val`, and `test`, located under the `images/` directory. - Each subset contains high-resolution images optimized for object detection and segmentation tasks.<br>- Annotations: - Available in YOLO txt and COCO formats for compatibility with major object detection frameworks. - Organized into three subsets: `train`, `val`, and `test`, located under the `labels/` directory. - Additional metadata: - `counts.txt`: Summary of label distributions. - Cache files (`train.cache`, `val.cache`, `test.cache`) for efficient dataset loading.<br>- Metadata: - `classes.txt`: Definitions for all annotated classes in the dataset. - Detailed COCO-format annotations in: - `train_annotations.json` - `val_annotations.json` - `test_annotations.json`<br>- Configuration File: - `EMVSD.yaml`: Configuration file for seamless integration with machine learning libraries.<br>Example Directory Structure:EMVSD/├── images/│ ├── train/│ ├── val/│ └── test/├── labels/│ ├── train/│ ├── val/│ ├── test/│ ├── counts.txt│ ├── train.cache│ ├── val.cache│ └── test.cache├── classes.txt├── train_annotations.json├── val_annotations.json├── test_annotations.json└── EMVSD.yaml<br>