Dataset Versions

Versions
2023-08-11 11:46pm
v9
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a year ago
2023-08-11 11:45pm
v8
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a year ago
2023-08-11 11:43pm
v7
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a year ago
2023-08-11 11:42pm
v6
·
a year ago
2023-08-11 11:41pm
v5
·
a year ago
2023-07-31 11:54pm
v4
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a year ago
2023-07-31 11:53pm
v3
·
a year ago
2023-07-31 11:53pm
v2
·
a year ago
2023-07-31 11:49pm
v1
·
a year ago
v2

2023-07-31 11:53pm

Generated on Jul 31, 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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585 Total Images

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Dataset Split

Train Set 100%
585Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

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: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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