Dataset Versions

v2

2024-01-02 6:32am

Generated on Jan 2, 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%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -19% and +19%
Noise: Up to 1.87% of pixels
Cutout: 2 boxes with 14% size each

Similar Projects

See More
586 images 1 model