Dataset Versions

v2

2021-12-25 3:45pm

Generated on Dec 25, 2021

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%
1194Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 20% of images
Hue: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels