Dataset Versions

v17

2024-08-15 1:41pm

Generated on Aug 15, 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%
789Images
Valid Set 8%
65Images
Test Set 1%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.46% of pixels