Daniel Felipe Cruz Hernndez

Vineyard Object Detection

Object Detection

Vineyard Object Detection Image Dataset

v5

2024-05-13 null filtered data augmentation

Generated on May 13, 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%
4108Images
Valid Set 8%
357Images
Test Set 4%
174Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -19% and +19%
Blur: Up to 2px
Noise: Up to 0.54% of pixels