Dataset Versions

v5

2022-07-10 6:14pm

Generated on Jul 10, 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 87%
453Images
Valid Set 8%
44Images
Test Set 5%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 10 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Shear: ±7° Horizontal, ±7° Vertical
Saturation: Between -24% and +24%
Brightness: Between -12% and +12%
Exposure: Between -14% and +14%

Similar Projects

See More