Dataset Versions

v12

2024-05-20 5:09pm

Generated on May 20, 2024

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%
1827Images
Valid Set 9%
180Images
Test Set 4%
85Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 360x360
Grayscale: Applied
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 23% of images
Saturation: Between -25% and +25%