Dataset Versions

v4

2023-01-12 6:16pm

Generated on Jan 12, 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 99%
11280Images
Valid Set %
0Images
Test Set 1%
165Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -75% and +75%
Brightness: Between -50% and +50%
Exposure: Between -35% and +35%
Blur: Up to 3.75px
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

Similar Projects

See More