Dataset Versions

v7

2024-10-30 1:31pm

Generated on Oct 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%
5457Images
Valid Set 8%
505Images
Test Set 4%
233Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -32% and +32%
Brightness: Between -11% and +11%
Exposure: Between -30% and +30%
Blur: Up to 0.6px
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px

Similar Projects

See More
1.4k images