Create a script to import the "100 most wrong predictions" and then export them as labelling task in Label Studio #47
Labels
labelling
Data labelling issue relating to the annotation or improvement of a dataset.
machine learning
Things to do with machine learning related to FoodVision/Nutrify.
I've currently got a workflow for:
train.py
evaluate.py
evaluate.py
stores the "X most wrong" predictions in a CSV/Weights & Biases Table/Artifact, so next will be to pull that information into a script such asfix_labels.py
which:There could be a few options in the Label Studio interface to make the dataset better:
The text was updated successfully, but these errors were encountered: