Dataset Versions

v2

Aashika - Trial

Generated on Mar 25, 2022

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.
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Dataset Split

Train Set 90%
783Images
Valid Set 10%
83Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -23% and +23%
Blur: Up to 10px
Bounding Box: Flip: Horizontal