p Computer Vision Project

scribytz

Updated 3 months ago

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Classes (39)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time
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CocaCola-350ml
CocaCola-500ml
Dasani-500ml
Fanta-350ml
Fanta-Blackcurrant-500ml
Fanta-Orange-1.25L
Fanta-Orange-500ml
For state of the art Computer Vision training notebooks you can use with this dataset,
Keringet-500ml
Keringet-Sparkling-1L
Keringet-Sparkling-500ml
Minute-Maid-1L
Minute-Maid-400ml
Minute-Maid-Lemonade-280ml
No image augmentation techniques were applied.
PowerPlay-400ml
Predator-Energy-400ml
Productslabel are annotated in YOLOv8 format.
Roboflow is an end-to-end computer vision platform that helps you
Schweppes-500ml
Sprite-1.25L
Sprite-500ml
Sprite-LemonLime-Can-330ml
Stoney-Tangawizi-500ml
The dataset includes 1675 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on August 8, 2024 at 9:13 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
product-tagging-inst-seg - v14 tagging dataset
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            p-nzpwt_dataset,
                            title = { p Dataset },
                            type = { Open Source Dataset },
                            author = { scribytz },
                            howpublished = { \url{ https://universe.roboflow.com/scribytz/p-nzpwt } },
                            url = { https://universe.roboflow.com/scribytz/p-nzpwt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-11-10 },
                            }