Multi-class Fruit Detection Dataset for Real-Time Embedded Vision Systems
收藏Zenodo2026-02-23 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.18618629
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资源简介：
This dataset contains 76.981 annotated images of 31 fruit and vegetable categories.All images are annotated in YOLO format. The dataset includes training, validation,and test splits, as well as the data augmentation scripts used in the experiments.
It was created for training lightweight object detection models deployed onembedded platforms such as NVIDIA Jetson devices.
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Zenodo创建时间：
2026-02-12
