Dataset Versions

v2

2023-01-22 4:32pm

Generated on Jan 22, 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 93%
2056Images
Valid Set 7%
147Images
Test Set 0%
1Images

Preprocessing

Filter Null: Require at least 61% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -51% and +51%
Exposure: Between -25% and +25%
Blur: Up to 10px