It's relatively limited compared to `file` (~10% coverage), it's more like a specialized classificator for basic file formats, so such cases are really out-of-scope.
I guess it's more for detecting common file formats then with high recall.
However, where is the actual source of the model ?
Let's say I want to add a new file format myself.
Apparently only the source of the interpreter is here, not the source of the model nor the training set, which is the most important thing.
It's relatively limited compared to `file` (~10% coverage), it's more like a specialized classificator for basic file formats, so such cases are really out-of-scope.
I guess it's more for detecting common file formats then with high recall.
However, where is the actual source of the model ? Let's say I want to add a new file format myself.
Apparently only the source of the interpreter is here, not the source of the model nor the training set, which is the most important thing.