Dataset Versions

v2

2022-09-21 3:37pm

Generated on Sep 21, 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%
13182Images
Valid Set 5%
699Images
Test Set 1%
155Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 12 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 1.25px