Dataset Versions

v4

2024-09-01 1:54pm

Generated on Sep 1, 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 88%
3876Images
Valid Set 8%
367Images
Test Set 4%
184Images

Preprocessing

Resize: Fit within 640x480
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -24° and +24°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.5px
Noise: Up to 1.96% of pixels

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