Dataset Versions

v2

2024-12-10 9:42pm

Generated on Dec 10, 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 90%
339Images
Valid Set 6%
23Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 250x250

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%

Similar Projects

See More