Dataset Versions

v3

2023-12-06 8:08pm

Generated on Dec 6, 2023

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 95%
10784Images
Valid Set 5%
520Images
Test Set 1%
80Images

Preprocessing

Static Crop: 25-80% Horizontal Region, 25-58% Vertical Region
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 8.25px
Noise: Up to 6% of pixels
Mosaic: Applied