如何用统计指标刻画随机裁剪与缩放增强前后的数据集差异？

Data augmentation question. How do I characterise an original and augmented datasets where the augmentation parameters were zoom and crop? [P]

AI 导读

一名机器学习研究生用随机裁剪（0–90%）和随机缩放（0–20%）生成了增强数据集（每个 TIFF 文件含一个待检测/分类目标），并用于训练深度学习模型。其导师要求用能反映尺寸与形状变化的统计量来刻画增强前后的数据集差异，该学生询问应选哪些统计指标以及可用什么软件生成统计结果和直方图。

正文

For context, I am a new postgraduate student in machine learning (but not a very good one). I have produced some augmented datasets (TIFF files where each file contains one object to be detected / classified) which I used in training deep learning models. I used fairly aggressive cropping (random crops between 0 and 90%) and more moderate zooms (random values between 0 and 20%). My supervisor wants me to characterise these datasets to see how augmentation has changed it.

Sorry if this is a rookie question, but which statistics should I use? My supervisor says the stats I use should indicate changes in size and shape but I honestly don't know where to start.

If anyone can recommend a decent software/program to produce the stats and histograms as well, that would be great.

Thanks in advance!

submitted by /u/ScarlyLamorna
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