<b>Fruit instance segmentation dataset for </b><b>YOLOvFIS network</b>

The fruit dataset includes 11546 images. [Train: 10134, Valid: 947, Test: 465]Class: bitter_melon, cucumber, fig, jujube, melon_boyang, muskmelonFruit are annotated in YOLOv8 format.The following pre-processing was applied to each image:The following augmentation was applied to create 3 versions of each source image:* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down* Random rotation of between -15 and +15 degrees* Random shear of between -10° to +10° horizontally and -10° to +10° vertically* Random exposure adjustment of between -10 and +10 percent* Salt and pepper noise was applied to 0.1 percent of pixels

本水果数据集共包含11546张图像，数据集划分如下：训练集10134张、验证集947张、测试集465张。数据集涵盖类别如下：苦瓜（bitter_melon）、黄瓜（cucumber）、无花果（fig）、枣（jujube）、博洋甜瓜（melon_boyang）、甜瓜（muskmelon）。所有水果目标均以YOLOv8格式完成标注。
已针对每张图像执行基础预处理操作，未列明具体步骤；并通过以下数据增强手段为每张源图像生成3个衍生版本：
1. 以均等概率从以下90度旋转变换中选择其一执行：无旋转、顺时针旋转、逆时针旋转、180度倒置旋转
2. 随机旋转角度范围为-15°至+15°
3. 水平与垂直方向均施加-10°至+10°的随机错切变换
4. 随机调整图像曝光度，调整幅度为±10%
5. 为0.1%的图像像素添加椒盐噪声