Dataset Versions

v1

2024-01-10 4:24pm

Generated on Jan 10, 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 100%
1902Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 37% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -111° and +111°
Saturation: Between -91% and +91%
Brightness: Between -45% and +45%
Exposure: Between -17% and +17%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 25 boxes with 7% size each

Similar Projects

See More