Dataset Versions

v7

2024-06-03 10:42pm

Generated on Jun 4, 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%
1182Images
Valid Set 8%
113Images
Test Set 4%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%
Blur: Up to 2px
Noise: Up to 1.87% of pixels

Similar Projects

See More