Rachels workspace

merged_0315

Object Detection

merged_0315 Image Dataset

v1

2024-03-15 2:45pm

Generated on Mar 15, 2024

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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
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Dataset Split

Train Set 87%
255Images
Valid Set 9%
25Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels