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How can I identify a concept in an image? I want to debug the dataset to understand the concepts labelled for each image, but I couldn't find a simple way.
I know that the CSV files in the dataset folder index for each image and its concepts (part, object, etc.). But I couldn't find a way to see the label concept in an image; for example, I'd like to know which image has the wheel part concept. Can I identify this using only the CSV files? If not, could you tell me where in the code can I extract this information?
The text was updated successfully, but these errors were encountered:
Not sure if this is exactly what you are looking for, but the script/makebroden.sh script from the original repository generates the Broden dataset from scratch and might be useful.
How can I identify a concept in an image? I want to debug the dataset to understand the concepts labelled for each image, but I couldn't find a simple way.
I know that the CSV files in the dataset folder index for each image and its concepts (part, object, etc.). But I couldn't find a way to see the label concept in an image; for example, I'd like to know which image has the wheel part concept. Can I identify this using only the CSV files? If not, could you tell me where in the code can I extract this information?
The text was updated successfully, but these errors were encountered: