Dataset Versions

v35

2024-12-09 8:36pm

Generated on Dec 9, 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%
1122Images
Valid Set 8%
106Images
Test Set 4%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 4.9px
Noise: Up to 2% of pixels

Similar Projects

See More