Dataset Versions

v5

2024-04-07 7:03am

Generated on Apr 7, 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%
504Images
Valid Set 8%
48Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.77% of pixels
Bounding Box: Exposure: Between -10% and +10%

Similar Projects

See More