Dataset Versions

v7

2024-06-25 4:55am

Generated on Jun 25, 2024

Popular Download Formats

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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Dataset Split

Train Set 87%
11028Images
Valid Set 8%
1068Images
Test Set 4%
528Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 360x360
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -13° and +13°
Saturation: Between -32% and +32%
Brightness: Between -17% and +17%
Exposure: Between -15% and +15%
Blur: Up to 4.5px
Noise: Up to 1.11% of pixels

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