base
orchard.core.metadata.base
¶
Dataset Metadata Base Definitions.
Defines dataset metadata schema using Pydantic for immutability, type safety, and seamless integration with the global configuration engine.
DatasetMetadata
¶
Bases: BaseModel
Immutable metadata container for a dataset entry.
Holds identity, source, image properties, and normalization constants
for both classification and detection datasets. Detection datasets
additionally specify an annotation_path for bounding-box labels.
Attributes:
| Name | Type | Description |
|---|---|---|
name |
str
|
Short identifier (e.g., |
display_name |
str
|
Human-readable name for reporting. |
md5_checksum |
str
|
MD5 hash for download integrity verification. |
url |
str
|
Source URL for dataset download. |
path |
Path
|
Local path to the |
classes |
list[str]
|
Class labels in index order. |
in_channels |
int
|
Number of image channels (1=grayscale, 3=RGB). |
native_resolution |
int | None
|
Native pixel resolution (e.g., 28, 224). |
mean |
tuple[float, ...]
|
Channel-wise normalization mean. |
std |
tuple[float, ...]
|
Channel-wise normalization standard deviation. |
annotation_path |
Path | None
|
Local path to annotation |