Dataset Versions

v1

2023-03-07 3:49pm

Generated on Mar 7, 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 87%
5514Images
Valid Set 8%
526Images
Test Set 4%
262Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 6% of pixels

Similar Projects

See More
7.4k images 1 model