Dataset Versions

v2

2024-06-16 5:22pm

Generated on Jun 16, 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
Choose another format.

Dataset Split

Train Set 88%
10200Images
Valid Set 9%
1020Images
Test Set 3%
340Images

Preprocessing

Resize: Stretch to 480x480

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.51% of pixels