CocoaBeansQCV

Data for publication in Data in Brief. Cocoa Beans Quality dataset applies an image processing approach in Eight Steps. Every step implements a Computer Vision Algorithm in two condition of object classification, namely good and poor-quality cocoa beans. This dataset is already used in cocoa bean quality identification in image processing studies, so it is available for any purposes for the next project. Acquisition of the data using Video Capture and Extraction into raw image. Data was obtained from captured video using a data acquisition box device designed to connect to a conveyor. The image processing step to evaluate was based on the pre-processing approach with resizing, sharpening, RGB2HSV, Masking, Bounding Box, and Cropping Object.

《Data in Brief》期刊发表用数据。可可豆质量数据集（Cocoa Beans Quality dataset）采用八步图像处理方法，每一步均针对两类目标分类情况（即优质与劣质可可豆）应用计算机视觉算法（Computer Vision Algorithm）。该数据集已用于图像处理研究中的可可豆质量识别任务，因此可用于后续项目的任意用途。数据通过视频捕获（Video Capture）并提取为原始图像的方式获取，具体来源于通过一款设计用于连接传送带的数据采集箱设备捕获的视频。待评估的图像处理步骤基于预处理方法，包含调整大小（resizing）、锐化（sharpening）、RGB转HSV（RGB2HSV）、掩膜（Masking）、边界框（Bounding Box）及目标裁剪（Cropping Object）操作。