---
pretty_name: SEN2MS 5-band Vessel Detection
task_categories:
- object-detection
tags:
- remote-sensing
- sentinel-2
- vessel-detection
- geospatial
- parquet
license: mit
size_categories:
- 1K<n<10K
---

# sen2ms-optical

## Dataset Summary

This dataset contains 5-band Sentinel-2 patches exported from SEN2MS for vessel detection.

- Images: `1161`
- Bounding boxes: `1553`
- Empty images: `300`
- Non-empty images: `861`
- Export errors: `0`

## Data Layout

- `images.parquet`: image-level manifest
- `objects.parquet`: object-level annotations
- `images/`: `.npy` tensors referenced by `image_relpath`

## Image Format

- Spatial size: `128 x 128`
- Channels: `5`
- Band order: `B04,B03,B02,B08,B11`
- Image file format: `.npy`

## Visual Preview

Three example rows are shown below: samples with ships, samples without ships, and ship samples with bounding-box overlays.

![Dataset preview](previews/dataset_preview.png)

## Splits

- `train`: 929 images
- `val`: 232 images

## Geographic Coverage

- `DEN`: 464 images
- `EXT`: 100 images
- `USA`: 597 images

## Schema

### images.parquet columns
- `image_id`
- `image_relpath`
- `height`
- `width`
- `channels`
- `band_order`
- `num_boxes`
- `has_objects`
- `country`
- `format`
- `task`
- `split`

### objects.parquet columns
- `image_id`
- `bbox_idx`
- `class_id`
- `class_name`
- `x_center`
- `y_center`
- `bbox_width`
- `bbox_height`
- `x_min`
- `y_min`
- `x_max`
- `y_max`
- `img_width`
- `img_height`

## Intended Use

This dataset is intended for vessel detection experiments on optical remote sensing imagery.

## Limitations

- Bounding boxes are derived from the exported YOLO labels.
- Empty images are included in the manifest.
- Review geographic balance and annotation quality before benchmarking.