Dataset of Banana Prata Catarina Images Labeled in Eight Ripeness Stages

Our general objective is that the dataset proposed here be useful for the development of Machine Learning and Computer Vision algorithms whose central object of analysis is the banana. The images contained here are of bananas from the Prata Catarina cultivar, with labeling of eight classes that represent levels of control of the fruit. For the labeling process, they were labeled via Bounding box, demarcating the banana in the image and assigning it a degree of maturation following the norms proposed in CEAGESP (2006). All 1000 images of bananas were taken using only smartphones. These images were collected on February 4th, 13th and 17th, 2023, with variations of the background on a smooth surface (white marble), on clayey soil or on foliage. Lastly, all data was uploaded to the roboflow platform and labeled using the bounding boxes method.