Dataset Versions

v4

2023-10-30 5:20pm

Generated on Oct 30, 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%
468Images
Valid Set 8%
45Images
Test Set 4%
22Images

Preprocessing

Resize: Stretch to 1280x1280
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 5% of pixels