SJCET

fruits detection

Object Detection

fruits detection 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.

Cite This Project

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

@misc{
                            fruits-detection-tuhbr_dataset,
                            title = { fruits detection Dataset },
                            type = { Open Source Dataset },
                            author = { SJCET },
                            howpublished = { \url{ https://universe.roboflow.com/sjcet/fruits-detection-tuhbr } },
                            url = { https://universe.roboflow.com/sjcet/fruits-detection-tuhbr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-03-02 },
                            }
                        

Connect Your Model With Program Logic

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

Source

SJCET

Last Updated

7 months ago

Project Type

Object Detection

Subject

fruits

Classes

0 apple_6 apple_braeburn apple_crimson_snow apple_golden apple_granny_smith apple_pink_lady apple_red apple_red_delicios apple_red_yellow apricot avacado avacado_ripe banana banana_lady_finger banana_red beetroot blueberry cactus_fruit cantaloupe carambula cauliflower cherry cherry_rainier cherry_wax_black cherry_wax_red cherry_wax_yellow chestnut clementine cocos corn corn_husk cucumber_pipe_2 cucumber_ripe cucumber_ripe_2 dates eggplant fig ginger granadilla grape_blue grape_pink grape_white guava hazelnut

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License

CC BY 4.0