Dataset Versions

v1

2023-10-31 7:09pm

Generated on Oct 31, 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 87%
498Images
Valid Set 8%
48Images
Test Set 4%
24Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Saturation: Between -45% and +45%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels