Agribot Dataset

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Versions
2022-06-12 6:12pm
v3
·
2 years ago
Agribot dataset 2
v2
·
2 years ago
Agribot dataset
v1
·
2 years ago
v3

2022-06-12 6:12pm

Generated on Jun 12, 2022
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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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10500 Total Images

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Dataset Split

Train Set 89%
9376Images
Valid Set 6%
680Images
Test Set 4%
444Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 41-75% Horizontal Region, 46-75% Vertical Region
Resize: Fill (with center crop) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Saturation: Between -31% and +31%
Brightness: Between -11% and +11%