Dataset Versions

Versions
2024-07-14 4:02pm
v20
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5 months ago
2024-07-14 10:03am
v19
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5 months ago
2024-07-13 11:46am
v18
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5 months ago
2024-07-13 11:24am
v17
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5 months ago
2024-07-13 8:37am
v16
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5 months ago
2024-07-13 7:32am
v15
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5 months ago
2024-07-13 4:58am
v14
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5 months ago
2024-07-12 7:46pm
v13
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5 months ago
2024-07-12 7:29pm
v12
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5 months ago
2024-07-12 6:01pm
v11
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5 months ago
2024-07-12 3:24pm
v10
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5 months ago
2024-07-12 8:19am
v9
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5 months ago
2024-07-12 5:44am
v8
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5 months ago
2024-07-11 9:41pm
v7
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5 months ago
2024-07-11 7:53pm
v6
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5 months ago
2024-07-11 9:55am
v5
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5 months ago
2024-07-10 3:15pm
v4
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5 months ago
2024-07-10 9:23am
v3
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5 months ago
2024-07-10 7:09am
v2
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5 months ago
2024-07-09 2:26pm
v1
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5 months ago
v2

2024-07-10 7:09am

Generated on Jul 10, 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.
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1194 Total Images

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Dataset Split

Train Set 87%
1044Images
Valid Set 8%
99Images
Test Set 4%
51Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical

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