Dataset Versions
Versions
Cigarettes only
v15
· 3 years ago
All classes except cigs-default crop-stretch to 640
v14
· 3 years ago
Same - but without rotate
v13
· 3 years ago
All classes except cigs- 30- crop- flip and rotate
v12
· 3 years ago
Static cropp
v11
· 3 years ago
Same as v2
v10
· 3 years ago
Clear Plastic Bottle Only- stretch- rotate and flip
v9
· 3 years ago
Image example
v8
· 3 years ago
2022-03-27 6:45pm
v7
· 3 years ago
Bounding box no stretch
v4
· 3 years ago
No cigarettes with flip and rotate
v3
· 3 years ago
No Cigarettes
v2
· 3 years ago
All Classes
v1
· 3 years ago
v9
Clear Plastic Bottle Only- stretch- rotate and flip
Generated on Apr 19, 2022
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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
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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808 Total Images
View All Images
Dataset Split
Train Set 87%
703Images
Valid Set 9%
69Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 60% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down