Datasetpublic

Project-AgML/fruit_detection_worldwide

Fruit Detection Worldwide A dataset for object detection of various fruits. The dataset contains 565 images with 3,132 bounding box annotations across 7 categories. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @Article{s16081222, AUTHOR = {Sa, Inkyu and Ge, Zongyuan and Dayoub, Feras and Upcroft, Ben and Perez, Tristan and McCool, Chris}, TITLE = {DeepFruits: A Fruit Detection System Using Deep Neural… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/fruit_detection_worldwide.

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Fruit Detection Worldwide

A dataset for object detection of various fruits. The dataset contains 565 images with 3,132 bounding box annotations across 7 categories.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@Article{s16081222,
AUTHOR = {Sa, Inkyu and Ge, Zongyuan and Dayoub, Feras and Upcroft, Ben and Perez, Tristan and McCool, Chris},
TITLE = {DeepFruits: A Fruit Detection System Using Deep Neural Networks},
JOURNAL = {Sensors},
VOLUME = {16},
YEAR = {2016},
NUMBER = {8},
ARTICLE-NUMBER = {1222},
URL = {https://www.mdpi.com/1424-8220/16/8/1222},
ISSN = {1424-8220},
DOI = {10.3390/s16081222}
}