BongFloralpedia: A comprehensive collection of diverse types of flowers growing in fields of Ranaghat, Bengal

This database is a collection of a total of 1920 images of flowers belonging to nine different types of flower species namely, Tuberose (247 images), Marigold (206 images), Ixora coccinea (202 images), Hibiscus (208 images), Crape jasmine (202 images), Dhatura (200 images), Bougainvillea (207 images), 4o’ clock (208 images) and Rose (240 images) captured from real-fields located in Ranaghat, West Bengal, India. The images included in this database comprises of complex backgrounds containing weeds, soil, parts of other plants, etc. This database is created with the aim of providing a comprehensive collection of labelled floral images to train deep neural networks to perform automated classification of nine diverse types of floral species. The inclusion of flower images possessing complex backgrounds in this database enables it to train deep neural networks for performing highly accurate real-life identification of floral species. The images incorporated in this database are captured using mobile phones, Samsung Galaxy S20 FE 5G (Camera specifications: 12MP (Dual Pixel) OIS F 1.8 Wide Rear Camera+ 8MP OIS Tele Camera + 12 MP Ultra Wide 30X Space Zoom) and Redmi Note 9 pro max (Camera specifications: AI Quad camera array 64MP+8MP+5MP+2MP). The images of flowers included in this database are captured from real-fields located in Ranaghat, West Bengal, India which is one of the most well-known flower cultivation areas of the state, so the name of this database is termed as BongFloralpedia considering the place of origin of flowers whose images are included in this database.

本数据库共收录1920张花卉图像，涵盖9个不同的花卉物种，分别为晚香玉（Tuberose，247张）、万寿菊（Marigold，206张）、龙船花（Ixora coccinea，202张）、木槿（Hibiscus，208张）、狗牙花（Crape jasmine，202张）、曼陀罗（Dhatura，200张）、叶子花（Bougainvillea，207张）、紫茉莉（4o’ clock，208张）以及玫瑰（Rose，240张），所有图像均拍摄于印度西孟加拉邦拉纳哈特的真实农田中。该数据库内的图像均带有复杂背景，包含杂草、土壤、其他植物的部分区域等。本数据库的构建旨在提供一套全面的带标注花卉图像集，用于训练深度神经网络以实现9类不同花卉物种的自动化分类。由于收录的花卉图像均具备复杂背景，可助力训练深度神经网络以实现高精度的现实场景花卉物种识别。本数据库的图像均通过两款移动设备拍摄：三星Galaxy S20 FE 5G（相机规格：1200万像素（双像素）光学防抖F1.8广角后置摄像头+800万像素光学防抖长焦摄像头+1200万像素超广角30倍空间变焦镜头）以及Redmi Note 9 Pro Max（相机规格：AI四摄阵列6400万像素+800万像素+500万像素+200万像素）。因所有图像均拍摄于西孟加拉邦知名花卉种植基地拉纳哈特，本数据库被命名为BongFloralpedia，以体现其收录花卉图像的原产地特征。