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2023-03-23 3:03pm
v10
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2 years ago
2023-03-22 11:45pm
v9
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2 years ago
2023-03-22 11:27pm
v7
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2 years ago
2023-03-21 6:58pm
v6
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2 years ago
2023-03-20 5:10pm
v5
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2 years ago
2023-03-17 10:13pm
v4
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2 years ago
2023-03-17 2:36pm
v3
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2 years ago
2023-03-16 4:57pm
v2
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2 years ago
2023-03-16 4:46pm
v1
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2 years ago
v4

2023-03-17 10:13pm

Generated on Mar 17, 2023
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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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304 Total Images

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Dataset Split

Train Set 88%
267Images
Valid Set 8%
24Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -40° and +40°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels

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