Dataset Versions

v3

2021-08-21 2:01am

Generated on Aug 20, 2021

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 80%
6000Images
Valid Set 13%
1000Images
Test Set 7%
500Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 10 rows x 10 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal