Roboflow Universe BIRL Good Vegetables in Different Settings

Good Vegetables in Different Settings Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

1929 images

Explore Dataset

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{
                            good-vegetables-in-different-settings_dataset,
                            title = { Good Vegetables in Different Settings Dataset },
                            type = { Open Source Dataset },
                            author = { BIRL },
                            howpublished = { \url{ https://universe.roboflow.com/birl/good-vegetables-in-different-settings } },
                            url = { https://universe.roboflow.com/birl/good-vegetables-in-different-settings },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-04 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Good Vegetables in Different Settings project in your project.

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

BIRL

Last Updated

8 months ago

Project Type

Object Detection

Subject

Vegetables-and-Fruits

Views: 13

Downloads: 0

License

CC BY 4.0

Classes

Apple(Bad) Apple(Good) Apple-Bad- Bad Cucumber Banana(Bad) Banana(Good) Cucumber(Bad) Cucumber(Good) Kiwi(Bad) Kiwi(Good) Kiwi-Good- Lettuce(Bad) Lettuce(Good) Mango(Bad) Mango(Good) Mango-Good- Orange(Bad) Orange(Good) Pear(Bad) Pear(Good) Pear-Bad- Strawberry(Bad) Strawberry(Good) Strawberry-Good- Tomato(Bad) Tomato(Good) Tomato-Bad-

Object Detection Model snap