Dataset Versions

Versions
2023-06-17 1:02pm
v12
·
a year ago
2023-06-17 12:59pm
v11
·
a year ago
2023-06-13 9:12pm
v8
·
a year ago
2023-06-11 8:45pm
v7
·
a year ago
2023-06-11 7:05pm
v6
·
a year ago
2023-06-11 3:32pm
v5
·
a year ago
2023-06-11 3:27pm
v4
·
a year ago
2023-06-10 9:20pm
v3
·
a year ago
2023-06-10 7:30pm
v2
·
a year ago
2023-06-10 4:19pm
v1
·
a year ago
v1

2023-06-10 4:19pm

Generated on Jun 10, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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953 Total Images

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Dataset Split

Train Set 94%
900Images
Valid Set 4%
38Images
Test Set 2%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -50° and +50°
Saturation: Between -50% and +50%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 15 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 5% of pixels

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