CISAT RMUTL

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Tomato

Object Detection

Tomato Image Dataset

Try Pre-Trained Model
Versions
Tomato V.2.3
v4
Jun 6, 2022
Tomato V.2.2
v3
Jun 3, 2022
Tomato V.2
v2
Jun 1, 2022
TEST Tomato V1
v1
May 14, 2022
v4

Tomato V.2.3

Generated on Jun 6, 2022
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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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5068 Total Images

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Dataset Split

Train Set 87%
4428Images
Valid Set 8%
426Images
Test Set 4%
214Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x210

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 10% of pixels