Dataset Versions

v2

2024-06-06 3:13pm

Generated on Jun 6, 2024

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 88%
831Images
Valid Set 9%
81Images
Test Set 4%
37Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -27% and +27%
Brightness: Between -21% and +21%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.81% of pixels

Similar Projects

See More