Dataset Versions

v11

2024-08-12 1:40pm

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 91%
3000Images
Valid Set 6%
205Images
Test Set 3%
106Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Grayscale: Apply to 2% of images
Hue: Between -5° and +5°
Brightness: Between -12% and +12%
Exposure: Between -9% and +9%
Noise: Up to 0.53% of pixels