Dataset Versions

v2

2023-04-06 11:39am

Generated on Apr 6, 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 94%
1083Images
Valid Set 4%
51Images
Test Set 2%
24Images

Preprocessing

Resize: Stretch to 1480x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -43° and +43°
Saturation: Between -22% and +22%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -20% and +20%

Similar Projects

See More
594 images 1 model
647 images 1 model