PWD

PWD_Z

Object Detection

PWD_Z Image Dataset

v1

PWD_Z

Generated on May 5, 2022

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
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Dataset Split

Train Set 88%
4176Images
Valid Set 8%
390Images
Test Set 4%
192Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 1% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied