Dataset Versions

v2

2nd-try

Generated on Apr 10, 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 88%
1200Images
Valid Set 7%
92Images
Test Set 5%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1366x768
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Brightness: Between -18% and +18%
Blur: Up to 1px
Noise: Up to 2% of pixels
Bounding Box: Exposure: Between -16% and +16%