Fruit Detection Dataset

The dataset includes 8479 images of 6 different fruits(Apple, Grapes, Pineapple, Orange, Banana, and Watermelon).
Fruits are annotated in YOLOv8 format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)

The following augmentation was applied to create 3 versions of each source image:

The following transformations were applied to the bounding boxes of each image:
* 50% probability of horizontal flip

本数据集包含6种不同水果（苹果、葡萄、菠萝、橙子、香蕉和西瓜）的8479张图像。图像标注采用YOLOv8格式。

对每张图像执行了以下预处理操作：
* 自动调整像素数据的方向（去除EXIF方向信息）
* 调整尺寸至640x640（拉伸）

为创建每个源图像的3个版本，应用了以下增强操作：

对每张图像的边界框执行了以下变换：
* 50%的概率进行水平翻转

搜集汇总

背景与挑战

背景概述

该数据集包含8479张6种水果的图像，已按YOLOv8格式标注并进行了预处理和增强，适用于目标检测任务。数据集已划分为训练集、验证集和测试集，比例为84:11:5。