Dataset Versions

v8

2023-12-24 7:34pm

Generated on Dec 24, 2023

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 88%
285Images
Valid Set 9%
30Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 20% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

Similar Projects

See More