Dataset Versions

v7

2024-08-20 7:23am

Generated on Aug 20, 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 94%
8064Images
Valid Set 6%
480Images
Test Set 1%
64Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Tile: 4 rows x 4 columns
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 17% of images
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -6% and +6%

Similar Projects

See More
211 images 2 models