Layer 1 - Tomato Ripeness Image Dataset
Versions
2023-12-11 5:45am
v15
· 7 months ago
2023-12-11 3:58am
v14
· 7 months ago
Percobaan5_2
v13
· 9 months ago
Percobaan5
v12
· 9 months ago
Terbaru2
v11
· 9 months ago
Terbaru1
v10
· 9 months ago
2023-10-11 3:17pm
v8
· 9 months ago
2023-10-11 2:43pm
v3
· 9 months ago
2023-10-08 10:17am
v2
· 9 months ago
2023-10-07 8:59pm
v1
· 9 months ago
v15
2023-12-11 5:45am
Generated on Dec 10, 2023
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TXT annotations and YAML config used with YOLOv9.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1300 Total Images
View All Images
Dataset Split
Train Set 92%
1200Images
Valid Set 4%
50Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -80% and +0%
Blur: Up to 5px
Cutout: 5 boxes with 25% size each
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