Dataset Versions

v1

2023-04-21 6:15am

Generated on Apr 21, 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 87%
477Images
Valid Set 8%
45Images
Test Set 5%
25Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Bounding Box: Rotation: Between -25° and +25°
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 2% of pixels