What Inception Net Doesn't See
Takeaways So weâve found some examples where Inception Net fails⦠so what? Well, deep learning-based image classifiers like Inception Net are believed to be highly accurate, to the point that many companies release them as APIs [1, 2, 3] designed to be used by the general public. The release is rarely accompanied by descriptions of failure points of the model, so users donât really know when to expect the model to be reliable and when not to. By simply experimenting with the model via a web interface, I found several blind spots of Inception Net: for example, objects in unusu...
Source: abidlabs.github.io