Dataset Versions

v3

2023-04-28 2:43pm

Generated on Apr 28, 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 72%
1759Images
Valid Set 20%
487Images
Test Set 9%
214Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 21 remapped, 36 dropped
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 1
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 6px
Bounding Box: Noise: Up to 5% of pixels