Dataset Versions

Versions
2024-11-14 4:48pm
v19
·
a month ago
2024-11-13 2:09pm
v13
·
a month ago
2024-11-13 2:08pm
v12
·
a month ago
2024-11-13 2:06pm
v11
·
a month ago
2024-11-13 2:05pm
v10
·
a month ago
2024-11-13 2:04pm
v9
·
a month ago
2024-11-13 2:02pm
v8
·
a month ago
2024-11-12 9:56pm
v6
·
a month ago
2024-11-12 4:00pm
v5
·
a month ago
2024-11-12 3:53pm
v4
·
a month ago
2024-11-12 1:54pm
v3
·
a month ago
2024-11-12 1:52pm
v2
·
a month ago
2024-11-12 1:55am
v1
·
a month ago
v11

2024-11-13 2:06pm

Generated on Nov 13, 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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1460 Total Images

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Dataset Split

Train Set 88%
1281Images
Valid Set 12%
179Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.48% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -10% and +10%

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