task_categories:object-detection license:cc-by-nc-4.0 size_categories:n<1K format:json modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us underwater synthetic
---
license: cc-by-nc-4.0
task_categories:
- object-detection
tags:
- underwater
- synthetic
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - annotations/instances_train2024.json
  - split: test
    path: annotations/instances_test2024.json
pretty_name: Training marine species object detectors
---

# Synthetic images of underwater scenes with sea urchins

## Dataset Structure
The dataset is structured as follows:
- `annotations/`: contains json annotation files with test and train split in COCO format