DOE4C32

C3-0207

Instance Segmentation

C3-0207 Image Dataset

v1

2024-06-15 7:37am

Generated on Jun 15, 2024

Dataset Split

Train Set 87%
165Images
Valid Set 13%
24Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Noise: Up to 0.1% of pixels

Similar Projects

FN5428-02D
100 images
JT0030-01D
579 images
KF3520-06D
194 images
CT0102-01D
204 images
CN6880-01D
52 images