Dataset Versions

v4

2022-09-05 9:07am

Generated on Sep 5, 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 89%
3687Images
Valid Set 7%
278Images
Test Set 4%
172Images

Preprocessing

Resize: Stretch to 1088x1088
Grayscale: Applied
Modify Classes: 4 remapped, 12 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.25px
Noise: Up to 3% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

Similar Projects

See More
1.2k images 1 model