Dataset Versions

v10

Antigua V8 1440px 25ep

Generated on Nov 18, 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 88%
660Images
Valid Set 4%
30Images
Test Set 8%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1440x1440

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Blur: Up to 3.4px
Noise: Up to 1.52% of pixels

Similar Projects

See More