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
v10
Augmented3_Coccinellidae2x
Generated on Mar 4, 2023
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YOLOv11
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
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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).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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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
Blur: Up to 0.75px
Noise: Up to 1% of pixels