Roboflow Universe Gil Emmanuel Bancud Supervisely ML MergedProjects

Supervisely ML MergedProjects Computer Vision Project

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This repository contains dataset collected from various underwater trips

Version Explanations: Initial Version: No augmentations, just raw data and labels Max Augmented Version: Used all available augmentations, poorer performance Max Augmented 1280: A 1280px version of the previous version Smart1280: Used better augmentations leading to better performance. KingLuy-A: Rehashed Split to 75:15:10, still uses augmentation JokeyLuy-A: Reduced class counts to healthy levels AceLuya: Binarized KingLuya

Cite This Project

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

@misc{
                            supervisely-ml-mergedprojects_dataset,
                            title = { Supervisely ML MergedProjects Dataset },
                            type = { Open Source Dataset },
                            author = { Gil Emmanuel Bancud },
                            howpublished = { \url{ https://universe.roboflow.com/gil-emmanuel-bancud/supervisely-ml-mergedprojects } },
                            url = { https://universe.roboflow.com/gil-emmanuel-bancud/supervisely-ml-mergedprojects },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-19 },
                            }

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Source

Gil Emmanuel Bancud

Last Updated

a year ago

Project Type

Object Detection

Subject

trash

Views: 113

Downloads: 0

License

CC BY 4.0

Classes

Glass-bottle Glass-other Metal-drinking cans Plastic-Other Plastic-bag Plastic-drinks Plastic-food container Plastic-food packet Plastic-hard Plastic-nonfood Packet Plastic-nonfood container Plastic-other bottles containers and drums Plastic-rope string Plastic-tableware Rubber-Other Rubber-footwear SanitaryMedicalWaste-Other Trash-Generic

Object Detection