Dataset Versions

v5

2024-08-12 7:31am

Generated on Aug 12, 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 92%
991Images
Valid Set 4%
45Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 848x480
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.4px