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⚡ AI Lessons
Dev.to · Unknownerror-404
6mo ago
You Do NOT need augmentations to train your Classifiers!!
Contents of this blog Introduction Working with Classifiers: The First...
Dev.to · Unknownerror-404
7mo ago
Why Mixup Works (Even When It Blends Everything Into Goo)
What is Mixup? Mixup, introduced in 2018, is one of the oddest augmentations ever proposed. Instead...
Dev.to · Unknownerror-404
7mo ago
Why CutMix Works (Even When It Breaks the Image Apart)
What is CutMix? CutMix, introduced in 2019, takes Cutout’s idea and dials it up: Instead of...
Dev.to · Unknownerror-404
7mo ago
Why Cutout Works (Even Though It Looks Like Sabotage)
What is Cutout? Cutout might be one of the few augmentations that looks wrong at first...
Dev.to · Unknownerror-404
7mo ago
Why TrivialAugment Works (Even When It Shouldn’t)
What is TrivialAugment (TA)? TrivialAugment sits at the far end of the augmentation-policy...
Dev.to · Unknownerror-404
8mo ago
The middle brother in classifier development: What is RandAugment?
For those unaware, RandAugment is the successor to AutoAugment (AA). Introduced in 2020, it works to...
Dev.to · Unknownerror-404
8mo ago
Here's what I learnt after spending 6 months studying image augmentations.
October 2025 My last post explored what the most common pitfalls during early classifier training...
Dev.to · Unknownerror-404
9mo ago
Why Do Augmentations Work? A Rookie's Take on Classifier Chaos.
Why do augmentations work with classifiers? Ever since I started training classifiers, the process...
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