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birds's Introduction

**鸟类图片数据集

数据来源

来源于Google Images, 用这个脚本 下载的

NOTE: you need to download chromedriver executable, and set the path to CHROME_DRIVER_PATH environment variable to run the script.

筛选

使用了预先训练好的mobilenet_v2 来自动筛选掉不包含鸟的图片, 并裁剪包含鸟的图片

代码在这里: auto-filter-data.ipynb

数据集结构

  • bird_china_map_labeled.csv: 每种鸟类别的信息, 如英文名、中文名、稀有度等。 有些类别缺少数据
  • bird_images.tar.gz: gzip压缩包, 包含如下文件夹结构:
    • 数据集根目录
      • 鸟类名字1
        • 图片1
        • 图片2
        • 图片3
        • ...
        • 图片n
      • 鸟类名字2
        • 图片1
        • 图片2
        • 图片3
        • ...
        • 图片n
      • ...
      • 鸟类名字N
        • 图片1
        • 图片2
        • 图片3
        • ...
        • 图片n
  • archive.txt: 包含所有图片(相对于数据集根目录)的文件路径
  • filtered_logs/: 所有图片的文件名, 对应的源网址。每个json文件都有如下格式:
    {
        图片文件名1: 网址1,
        图片文件名2: 网址2,
        ...
        图片文件名n: 网址n
    }
    
    子文件夹:
    • 鸟类名字1.json
    • 鸟类名字2.json
    • ...
    • 鸟类名字N.json

文件(夹)命名规则

  • 鸟类名: 全部来自于bird_china_map_labeled.csv中的English Name
  • 鸟图片名: 鸟类名 + 下划线(_) + 编号(此编号和bird_china_map_labeled.csv中的ID一列无关)

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