Dataset Versions

v2

2024-05-19 4:25pm

Generated on May 19, 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 88%
552Images
Valid Set 8%
52Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 28% of images
Saturation: Between -44% and +44%
Brightness: Between -29% and +29%
Noise: Up to 6.04% of pixels