0
# Data
1

2
Example images, datasets, and synthetic data generation functions for testing algorithms, learning image processing techniques, and algorithm development.
3

4
## Capabilities
5

6
### Standard Test Images
7

8
```python { .api }
9
def camera():
10
    """512×512 grayscale cameraman image."""
11

12
def astronaut():
13
    """512×512 color astronaut image."""
14

15
def coins():
16
    """303×384 grayscale coins image."""
17

18
def checkerboard():
19
    """200×200 checkerboard pattern."""
20

21
def horse():
22
    """328×400 binary horse silhouette."""
23

24
def rocket():
25
    """121×81 grayscale rocket image."""
26

27
def cat():
28
    """300×451 color cat image."""
29

30
def coffee():
31
    """400×600 color coffee image."""
32
```
33

34
### Scientific Images
35

36
```python { .api }
37
def brain():
38
    """Brain MRI slice."""
39

40
def cell():
41
    """Fluorescence microscopy cell image."""
42

43
def cells3d():
44
    """3D fluorescence cell image stack."""
45

46
def hubble_deep_field():
47
    """Hubble space telescope deep field image."""
48
```
49

50
### Synthetic Data Generation
51

52
```python { .api }
53
def binary_blobs(length=512, blob_size_fraction=0.1, n_dim=2, volume_fraction=0.5, seed=None):
54
    """Generate synthetic binary image with blob-like objects."""
55

56
def shepp_logan_phantom():
57
    """Generate Shepp-Logan phantom for tomography."""
58
```
59

60
### Utilities
61

62
```python { .api }
63
def data_dir():
64
    """Path to data directory."""
65

66
def download_all():
67
    """Download all remote datasets."""
68
```
69

70
## Types
71

72
```python { .api }
73
from numpy.typing import NDArray
74
import numpy as np
75

76
TestImage = NDArray[np.number]
77
SyntheticImage = NDArray[np.number]
78
```