CottonInsect: An image dataset for cotton field insect identification study

To solve the problem of insect classification and detection in cotton fields under complex backgrounds, the cotton field insect recognition research image dataset is constructed. This dataset contains 13 common cotton field insects, with a total of 3225 images and a total of 24GB of original images. These image data were collected from different times, locations, and environments, including images of cotton field insects in different postures and growth stages in the real environment. Datasets are manually filtered and annotated into two formats: image classification and object detection. Ultimately, it can provide basic data for tasks such as insect image classification and object detection in cotton fields.

为解决复杂背景下棉田昆虫分类与检测的技术难题，本研究构建了棉田昆虫识别科研图像数据集。该数据集涵盖13种常见棉田昆虫，总计包含3225张图像，原始图像总容量达24GB。这些图像数据采集自不同时段、地点与环境，涵盖真实场景下不同姿态、不同生长阶段的棉田昆虫图像。该数据集经过人工筛选与标注，分为图像分类（image classification）、目标检测（object detection）两种标注格式，最终可为棉田昆虫图像分类、目标检测等相关任务提供基础数据支撑。

搜集汇总

背景与挑战

背景概述

CottonInsect是一个专注于棉田昆虫识别研究的图像数据集，旨在解决复杂背景下昆虫分类和检测问题。它包含13种常见棉田昆虫的3225张图像（原始图像24GB，总数据量31.76GB），采集自不同时间、地点和环境，涵盖真实场景中昆虫的不同姿态和生长阶段，并经过人工标注，支持图像分类和目标检测任务，为农业智能化研究提供基础数据。