Dataset Versions

v6

2023-10-18 11:50am

Generated on Oct 18, 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%
3825Images
Valid Set 8%
366Images
Test Set 4%
180Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Noise: Up to 3% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical