Dataset Versions

v2

2023-10-07 4:21pm

Generated on Oct 7, 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 88%
6518Images
Valid Set 8%
620Images
Test Set 4%
290Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 768x576
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±2° Horizontal, ±2° Vertical
Blur: Up to 1.5px
Noise: Up to 1% of pixels