Aquarium Dataset

Object Detection

Aquarium Dataset Computer Vision Project

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1054 images
Explore Dataset

The dataset includes 1054 images. Marine-creatures are annotated in YOLO v5 PyTorch format.

The following pre-processing was applied to each image:

  • Auto-orientation of pixel data (with EXIF-orientation stripping)
  • Resize to 1024x1024 (Fit within)

No image augmentation techniques were applied.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                            title = { Aquarium Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { aquariumdataset },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-13 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Aquarium Dataset project in your project.

Last Updated

a year ago

Project Type

Object Detection



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CC BY 4.0