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2023-09-24 8:16pm
v11
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a year ago
2023-09-24 4:10pm
v10
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a year ago
2023-09-24 2:42pm
v9
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2023-09-24 2:40pm
v8
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2023-09-24 10:38am
v7
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a year ago
2023-09-23 5:28pm
v6
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2023-08-29 7:03pm
v5
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a year ago
2023-08-28 8:05pm
v4
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a year ago
2023-08-28 7:53pm
v3
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a year ago
2023-08-28 2:02pm
v2
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a year ago
2023-08-28 9:42am
v1
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a year ago
v3

2023-08-28 7:53pm

Generated on Aug 28, 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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14472 Total Images

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Dataset Split

Train Set 90%
12972Images
Valid Set 7%
984Images
Test Set 4%
516Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px

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