inat_butterflies

This dataset contains images from iNaturalist of butterflies (superfamily Papilionoidea) with at least one fave. Check the descriptions - some images have a licence like CC-BY-NC and can't be used for commercial purposes.

The list of observations was exported from iNaturalist after a query similar to https://www.inaturalist.org/observations?place_id=any&popular&taxon_id=47224

The images were downloaded with img2dataset and uploaded to the huggingface hub by @johnowhitaker using this colab notebook: https://colab.research.google.com/drive/14qwFV_G4dh6evizzqHP08qDUAHtzfuiW?usp=sharing

The goal is to have a dataset of butterflies in different poses and settings, to use for GAN training and to compare with datasets built with museum collections of pinned specimens (which tend to be much cleaner and have more consistency of pose etc)

I'm not familiar with the nuances of creative commons licencing but you may wish to filter out images which are no-derivatices (CC-...-ND) when training a GAN or creating new images.

本数据集收录iNaturalist平台上的凤蝶总科（Papilionoidea）蝴蝶图像，对应观测至少获得过一次用户喜爱标记。请查阅相关说明：部分图像采用CC-BY-NC（知识共享署名-非商业性使用）许可协议，不得用于商业用途。
该观测列表通过匹配类似下述链接的查询条件，从iNaturalist平台导出：https://www.inaturalist.org/observations?place_id=any&popular&taxon_id=47224
本数据集的图像通过img2dataset工具下载，并由用户@johnowhitaker借助以下Colab笔记本上传至Hugging Face Hub：https://colab.research.google.com/drive/14qwFV_G4dh6evizzqHP08qDUAHtzfuiW?usp=sharing
本数据集旨在构建涵盖不同姿态与拍摄场景的蝴蝶图像库，可用于生成对抗网络（Generative Adversarial Network, GAN）训练，同时可与基于博物馆针插标本馆藏构建的数据集进行对比——后者通常图像质量更规整，且姿态一致性更强。
本人对知识共享许可协议的细节不甚了解，若您计划使用本数据集训练生成对抗网络或生成新图像，建议过滤掉带有禁止演绎（CC-ND）类许可的图像。