Aquarium Dataset Computer Vision Project
TRY THIS MODEL
Drop an image or
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:
@misc{
aquarium-dataset-78xdt_dataset,
title = { Aquarium Dataset Dataset },
type = { Open Source Dataset },
author = { aquariumdataset },
howpublished = { \url{ https://universe.roboflow.com/aquariumdataset/aquarium-dataset-78xdt } },
url = { https://universe.roboflow.com/aquariumdataset/aquarium-dataset-78xdt },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-04-25 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Aquarium Dataset project in your project.
Similar Projects
Test
638 images
things
638 images
AquariumAnimals
638 images
creatures
638 images
fish-jellyfish-penguin-puffin-sh
637 images