Dataset Versions

v2

2023-10-29 5:48pm

Generated on Oct 29, 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%
10524Images
Valid Set 8%
1002Images
Test Set 4%
501Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 1.5px