copsiniflandirma

siniflandirma

Object Detection

siniflandirma Image Dataset

v6

2024-05-13 3:55pm

Generated on May 13, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 86%
1374Images
Valid Set 9%
144Images
Test Set 5%
76Images

Preprocessing

Auto-Orient: Applied
Static Crop: 19-71% Horizontal Region, 11-59% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±2° Horizontal, ±21° Vertical
Saturation: Between -28% and +28%
Blur: Up to 0.3px
Noise: Up to 4.26% of pixels
Cutout: 10 boxes with 3% size each