Common element to these stories seems to be that the error is only found too late, and then apparently the whole project is scrapped. Most of the real projects

Common element to these stories seems to be that the error is only found too late, and then apparently the whole project is scrapped. Most of the real projects I'm familiar with discovered some flaws in data or training, but continued working afterwards. Like nobody who heard this story ever thought to ask, so what happened after you trained it on some more photos?