Dataset Versions

v1

4000 dset new 2022-02-26

Generated on Feb 26, 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 88%
8049Images
Valid Set 8%
766Images
Test Set 4%
383Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±18° Horizontal, ±18° Vertical
Saturation: Between -80% and +80%
Blur: Up to 1.75px
Noise: Up to 6% of pixels