Dataset Versions

v6

2024-01-22 6:03pm

Generated on Jan 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.
Other Formats
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Dataset Split

Train Set 88%
2592Images
Valid Set 8%
240Images
Test Set 4%
120Images

Preprocessing

Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 2% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 1.7px

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