Dataset Versions

v4

2023-12-31 4:29pm

Generated on Dec 31, 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%
75Images
Valid Set 8%
7Images
Test Set 5%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±14° Vertical
Grayscale: Apply to 15% of images
Hue: Between -119° and +119°
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 0.1% of pixels
Bounding Box: Noise: Up to 0.97% of pixels

Similar Projects

See More
76 images 1 model