The provided dataset consists of: 300 synthetic images featuring water-sensitive paper () 2 real water-sensitive paper images manually annotated 127 real water-sensitive paper images, divided into squares, pre-annotated The synthetic dataset was generated using an automated algorithm that creates individual droplets and positions them against a yellow artificial background. Annotations for instance segmentation each droplet are stored in a text file formatted according to YOLOv8 annotation format. Some key features include: Distribution of number of droplets per image: the number of droplets per image is determinedbased on the configuration values to follow a normal distribution. Size distribution of droplets: the algorithm calculates the size of each droplet based on theRosin-Rammler distribution. Image Resolution: images were created with three different resolutions Yellow Background: the background of each image is composed by a yellow radial gradient generated for each water-sensitive paperimage. The gradient transitions between two randomly chosen tones of yellow from a list of shades of yellow taken from real images of water-sensitive paper. Droplet Color: the colors of the droplets are taken from two distinct real datasets of water-sensitive paper. Droplet Shape: the shapes of the droplets are selected from a list containing 25 404 shapes, which are taken from real water-sensitive paper images. Each set of images of this dataset is organized into two folder: image: contains the water-sensitive paper images label: contains the labels in YOLOv8 polygon format of each one of the droplets in the image