from typing import List, Union
from datasets import ClassLabel, DatasetDict, Image
from DashAI.back.dataloaders.classes.dashai_dataset import (
DashAIDataset,
to_dashai_dataset,
)
from DashAI.back.tasks.base_task import BaseTask
[docs]class ImageClassificationTask(BaseTask):
"""Base class for image classification tasks.
Here you can change the methods provided by class Task.
"""
COMPATIBLE_COMPONENTS = ["Accuracy", "F1", "Precision", "Recall"]
metadata: dict = {
"inputs_types": [Image],
"outputs_types": [ClassLabel],
"inputs_cardinality": 1,
"outputs_cardinality": 1,
}
def prepare_for_task(
self, datasetdict: Union[DatasetDict, DashAIDataset], outputs_columns: List[str]
) -> DashAIDataset:
"""Change the column types to suit the image classification task.
A copy of the dataset is created.
Parameters
----------
datasetdict : DatasetDict
Dataset to be changed
Returns
-------
DashAIDataset
Dataset with the new types
"""
types = {column: "Categorical" for column in outputs_columns}
datasetdict = to_dashai_dataset(datasetdict)
dataset = datasetdict.change_columns_type(types)
return dataset