Dataset Versions

v2

2024-05-30 5:40pm

Generated on May 30, 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%
4698Images
Valid Set 8%
447Images
Test Set 4%
224Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Exposure: Between -7% and +7%
Blur: Up to 1.6px
Noise: Up to 1.05% of pixels