Dataset Versions

v9

2024-10-02 3:17pm

Generated on Oct 2, 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 92%
249Images
Valid Set 4%
11Images
Test Set 4%
10Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±8° Horizontal, ±8° Vertical
Grayscale: Apply to 14% of images
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -8% and +8%
Blur: Up to 0.7px
Noise: Up to 0.69% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 0.1% of pixels

Similar Projects

See More