Dataset Versions

v5

2024-09-19 2:43pm

Generated on Sep 19, 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%
2922Images
Valid Set 9%
311Images
Test Set 3%
86Images

Preprocessing

Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.22% of pixels