Dataset Versions

v2

2024-07-13 6:38pm

Generated on Jul 13, 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 88%
1080Images
Valid Set 8%
101Images
Test Set 4%
52Images

Preprocessing

Resize: Fit within 640x640
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Blur: Up to 0.5px
Noise: Up to 0.49% of pixels