Dataset Versions

v5

2024-11-08 3:19pm

Generated on Nov 8, 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 86%
261Images
Valid Set 8%
24Images
Test Set 6%
17Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-75% Horizontal Region, 15-75% Vertical Region
Resize: Stretch to 380x380

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%

Similar Projects

See More
7.3k images