Dataset Versions

v3

2023-03-21 12:38am

Generated on Mar 20, 2023

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 87%
2802Images
Valid Set 8%
266Images
Test Set 4%
136Images

Preprocessing

Auto-Orient: Applied
Static Crop: 17-75% Horizontal Region, 25-65% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -36% and +36%
Exposure: Between -19% and +19%
Blur: Up to 2.75px
Noise: Up to 3% of pixels
Bounding Box: Noise: Up to 5% of pixels

Similar Projects

See More