Dataset Versions

v20

2024-01-30 11:22pm

Generated on Jan 30, 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 81%
507Images
Valid Set 18%
116Images
Test Set 1%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±9° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Noise: Up to 1.29% of pixels

Similar Projects

See More
150 images 1 model
983 images 1 model
768 images 1 model