Dataset Versions

v1

fruit1

Generated on Feb 1, 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 96%
648Images
Valid Set %
0Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 544x544

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±26° Horizontal, ±11° Vertical
Brightness: Between -21% and +21%
Blur: Up to 2.5px
Noise: Up to 12% of pixels