wuttinan

ball

Object Detection

ball Image Dataset

v2

ball_2

Generated on Jun 1, 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
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
648Images
Valid Set 9%
68Images
Test Set 3%
24Images

Preprocessing

Isolate Objects: Applied
Static Crop: 26-88% Horizontal Region, 25-80% Vertical Region
Dynamic Crop: Class: Ball_red
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each