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.

搜集汇总

背景与挑战

背景概述

该数据集包含1000张使用智能手机拍摄的Prata Catarina香蕉图像，标注了八个成熟度等级，遵循CEAGESP标准，并采用边界框标注方法。图像采集于不同背景（如光滑表面、土壤或树叶），旨在支持针对香蕉分析的机器学习和计算机视觉算法开发。