Fruit instance segmentation dataset for YOLOvFIS network

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