Dataset Versions

v3

2024-09-14 2:43pm

Generated on Sep 14, 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%
1235Images
Valid Set 7%
106Images
Test Set 5%
76Images

Preprocessing

Tile: 3 rows x 6 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -24° and +24°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Blur: Up to 4.8px