Dataset Versions

v7

2023-05-10 4:31am

Generated on May 10, 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 92%
2445Images
Valid Set 4%
99Images
Test Set 4%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 480x480
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -15° and +15°