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Strawberry Fruit and Leaf Ripeness and Disease
Object Detection
Overview
Images
5395
Dataset
7
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-07-03 7:01pm
v14
·
9 months ago
TRAIN1 2024-05-28 11-09am
v13
·
10 months ago
2024-05-24 5:36pm
v12
·
10 months ago
STRAWBERRY LEAF_LATEST 2K
v10
·
10 months ago
STRAWBERRY FRUIT_LATEST 3K
v9
·
10 months ago
RIPENESS
v8
·
10 months ago
DISEASE
v7
·
10 months ago
v9
STRAWBERRY FRUIT_LATEST 3K
Generated on May 19, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
.
YOLOv8
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
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PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
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5273
Total Images
View All Images
Dataset Split
Train Set
82%
4346
Images
Valid Set
12%
620
Images
Test Set
6%
307
Images
Preprocessing
Auto-Orient:
Applied
Static Crop:
25-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example:
2
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -45° and +45°
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