Dataset Versions
Versions
2024-01-07 9:12pm
v17
· a year ago
Coccinellidae_V16
v16
· a year ago
Coccinellidae_V10
v15
· a year ago
Coccinellidae_Ref14
v14
· 2 years ago
Coccinellidae_Kumbang_Augmentasi2x
v13
· 2 years ago
Coccinellidae_Augmentasi3x
v12
· 2 years ago
Augmented4_Coccinelidae2x
v11
· 2 years ago
Augmented3_Coccinellidae2x
v10
· 2 years ago
2023-03-04 5:22pm
v9
· 2 years ago
Augmented2_Coccinellidae
v8
· 2 years ago
Augmented1_Coccinellidae
v7
· 2 years ago
Origanal_Remaped_Coccinellidae
v6
· 2 years ago
Original_Dataset_No Remaped
v5
· 2 years ago
v9
2023-03-04 5:22pm
Generated on Mar 4, 2023
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TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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1652 Total Images
View All Images
Dataset Split
Train Set 82%
1360Images
Valid Set 12%
195Images
Test Set 6%
97Images
Preprocessing
Modify Classes: 5 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 3px