Dataset Versions

v3

2024-03-22 12:35pm

Generated on Mar 22, 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 84%
1128Images
Valid Set 10%
140Images
Test Set 5%
68Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 23-83% Horizontal Region, 10-61% Vertical Region
Dynamic Crop: Class: dost
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Exposure: Between -33% and +33%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 24% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°

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