Dataset Versions

v7

2024-10-05 2:53am

Generated on Oct 5, 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.
Other Formats
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Dataset Split

Train Set 86%
1320Images
Valid Set 8%
128Images
Test Set 5%
84Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±20° Horizontal, ±9° Vertical
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Noise: Up to 0% of pixels
Cutout: 3 boxes with 15% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -24° and +24°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -18% and +18%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0% of pixels

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