CFruit image dataset for YOLO Fruit detector
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资源简介：
The image dataset contains seven target categories: bitter_melon, cucumber, muskmelon, melon_boyang, strawberry, jujube, cherry. The dataset is divided into a training set of 3956 samples (train1, train2, train3, train4), and a validation set of 994 samples (valid), following an 8:2 ratio. It also includes the relevant codes and created models using the YOLO framework.
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Zenodo创建时间：
2025-07-04
