Dataset Versions

v3

V2 DecRes-

Generated on Aug 10, 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%
1068Images
Valid Set 8%
102Images
Test Set 4%
51Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Shear: ±15° Horizontal, ±14° Vertical
Grayscale: Apply to 24% of images
Saturation: Between -33% and +33%
Exposure: Between -15% and +15%