JustZenq

1029_pillProject3

Object Detection

1029_pillProject3 Image Dataset

v1

2021-10-29 6:18pm

Generated on Oct 29, 2021

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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.
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Dataset Split

Train Set 87%
855Images
Valid Set 8%
82Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels