LivingOptics/hyperspectral-fruit

Living Optics高光谱水果数据集包含100张在各种控制照明条件下捕获的各种水果和蔬菜的图像。数据集由RGB图像、稀疏光谱样本和实例分割掩码组成，共包含19个类别，如柠檬、甜瓜、黄瓜、苹果等。提供了超过430,000个光谱样本，其中超过85,000个属于特定类别。此外，还提供11张验证图像和演示视频。

The Living Optics Hyperspectral Fruit Dataset consists of 100 images of various fruits and vegetables captured under controlled lighting. The dataset includes RGB images, sparse spectral samples, and instance segmentation masks, with a total of 19 classes such as lemons, melons, cucumbers, apples, etc. It provides over 430,000 spectral samples, with more than 85,000 belonging to specific classes. Additionally, there are 11 validation images and demonstration videos included.

搜集汇总

背景与挑战

背景概述

Living Optics Hyperspectral Fruit Dataset是一个高光谱水果和蔬菜图像数据集，包含100张图像和超过430,000个光谱样本，涵盖19个类别，适用于图像分割和分类任务。数据集还提供了验证集和未标注的演示视频，可用于算法开发和测试。