Dataset Versions

v3

2024-05-16 12:00pm

Generated on May 16, 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%
1827Images
Valid Set 8%
172Images
Test Set 4%
90Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 0-98% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between -15% and +15%
Exposure: Between -25% and +25%