Dataset Versions

v8

2022-01-01 8:40pm

Generated on Jan 1, 2022

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%
3003Images
Valid Set 3%
106Images
Test Set 9%
289Images

Preprocessing

Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Brightness: Between -20% and +20%
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each