Dataset Versions

v1

v1

Generated on Jun 16, 2022

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 94%
1404Images
Valid Set 3%
49Images
Test Set 3%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 10% of images
Hue: Between -117° and +117°
Saturation: Between -84% and +84%
Brightness: Between -49% and +49%
Exposure: Between -6% and +6%
Noise: Up to 6% of pixels

Similar Projects

See More