Dataset Versions

v2

2023-09-17 1:11pm

Generated on Sep 17, 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 88%
6300Images
Valid Set 8%
560Images
Test Set 4%
300Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Saturation: Between -16% and +16%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 2.5px
Noise: Up to 2% of pixels