CISAT RMUTL

Tomato

Object Detection

Tomato Image Dataset

v1

TEST Tomato V1

Generated on May 14, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 87%
1179Images
Valid Set 8%
114Images
Test Set 4%
58Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -19° and +19°
Brightness: Between -50% and +50%
Blur: Up to 2px
Noise: Up to 8% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
segat-busuk
43 images
unripe-semiripe-ripe
314 images