Dataset Versions
v13
All_aug-1x_less-distortion_combined rind-squashed_ends
Generated on Feb 22, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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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1477 Total Images
View All Images
Dataset Split
Train Set 80%
1176Images
Valid Set 15%
215Images
Test Set 6%
86Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 480x480
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 1
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -35% and +35%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels
Cutout: 3 boxes with 15% size each
Bounding Box: Blur: Up to 0.25px