CocoDetection¶
- class torchvision.datasets.CocoDetection(root: str, annFile: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)[source]¶
MS Coco Detection Dataset.
It requires the COCO API to be installed.
- Parameters:
root (string) – Root directory where images are downloaded to.
annFile (string) – Path to json annotation file.
transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g,
transforms.PILToTensor
target_transform (callable, optional) – A function/transform that takes in the target and transforms it.
transforms (callable, optional) – A function/transform that takes input sample and its target as entry and returns a transformed version.
Examples using
CocoDetection
:Transforms v2: End-to-end object detection example
Transforms v2: End-to-end object detection example- Special-members: