Dataset Versions

v7

2022-10-19 2:59pm

Generated on Oct 19, 2022

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%
621Images
Valid Set 8%
59Images
Test Set 5%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x540
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -104° and +104°
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 2% of pixels
Cutout: 14 boxes with 10% size each
Mosaic: Applied
Bounding Box: Exposure: Between -51% and +51%
Bounding Box: Noise: Up to 5% of pixels

Similar Projects

See More
83 images 1 model
83 images 1 model
266 images 1 model
445 images 1 model