Dataset Versions

v18

2024-02-21 9:00am

Generated on Feb 21, 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%
16056Images
Valid Set 8%
1522Images
Test Set 4%
762Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -19% and +19%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.65% of pixels

Similar Projects

See More
338 images 1 model