Dataset Versions

v2

2023-06-12 11:47pm

Generated on Jun 12, 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 79%
4515Images
Valid Set 16%
884Images
Test Set 5%
293Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 3% of pixels