tomato

mamaj-123

Object Detection

mamaj-123 Image Dataset

v4

v8n_480

Generated on Feb 25, 2024

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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.
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Dataset Split

Train Set 89%
2108Images
Valid Set 5%
130Images
Test Set 5%
127Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 0.5% of pixels
bacterial_spot
1338 images
leaf-background
650 images
Tomato-Septoria-leaf-spot
773 images