ASG Martlet

JellyBelly3

Object Detection

JellyBelly3 Computer Vision Project

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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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ jellybelly3_dataset,
    title = { JellyBelly3 Dataset },
    type = { Open Source Dataset },
    author = { ASG Martlet },
    howpublished = { \url{ https://universe.roboflow.com/asg-martlet/jellybelly3 } },
    url = { https://universe.roboflow.com/asg-martlet/jellybelly3 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-12-10 },
}

Find utilities and guides to help you start using the JellyBelly3 project in your project.

Source

ASG Martlet

Last Updated

3 months ago

Project Type

Object Detection

Subject

jelly-belly

Classes

A&W Cream Soda, A&W Root Beer, Berry Blue, Blueberry, Bubble Gum, Buttered Popcorn, Cantaloupe, Cappuccino, Cappucino, Caramel Corn, Chili Mango, Chocolate Pudding, Cinnamon, Coconut, Cotton Candy, Crushed Pineapple, Dr. Pepper, French Vanilla, Green Apple, Island Punch, Juicy Pear, Kiwi, Lemon Drop, Lemon Lime, Licorice, Mango, Margarita, Mixed Berry Smoothie, Orange Sherbet, Peach, Pina Colada, Plum, Pomegranate, Raspberry, Red Apple, Sizzling Cinnamon, Sour Cherry, Strawberry Cheesecake, Strawberry Daiquiri, Strawberry Jam, Sunkist Lemon, Sunkist Lime, Sunkist Orange, Sunkist Pink Grapefruit, Sunkist Tangerine, Toasted Marshmallow, Top Banana, Tutti Fruitti, Very Cherry, Watermelon, Wild Blackberry

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License

CC BY 4.0