Dataset Versions

v3

2023-08-31 10:06pm

Generated on Aug 31, 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 75%
1500Images
Valid Set 15%
300Images
Test Set 10%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Applied
Rotation: Between -7° and +7°
Saturation: Between -7% and +7%
Brightness: Between -8% and +8%
Exposure: Between -7% and +7%
Blur: Up to 0.75px