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--- |
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task_categories: |
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- object-detection |
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language: |
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- en |
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--- |
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Example usage: |
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```python |
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from abc import ABC, abstractmethod |
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from datasets import load_dataset |
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from PIL import Image |
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from typing import Iterator |
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class DatasetInterface(ABC): |
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@abstractmethod |
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def get_generator(self) -> Iterator[tuple[Image.Image, list[float], list[float], list[str]]]: |
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pass |
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class CocoDataset(DatasetInterface): |
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def __init__(self): |
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self.dataset = load_dataset("detection-datasets/coco", split="val", streaming=True) |
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def get_generator(self) -> Iterator[tuple[Image.Image, list[float], list[float], list[str]]]: |
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for elem in self.dataset: |
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image = elem['image'].convert("RGB") |
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boxes = elem['objects']['bbox'] |
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probs = [1.0] * len(boxes) # max confidence |
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labels = elem['objects']['category'] |
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yield image, boxes, probs, labels |
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``` |