Dataset Versions

v1

2024-09-12 3:28am

Generated on Sep 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%
14040Images
Valid Set 5%
703Images
Test Set 3%
468Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±33° Horizontal, ±42° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Bounding Box: Blur: Up to 1.5px

Similar Projects

See More