bt-cotton Image Dataset
Versions
2022-08-06 9:13am
v11
Aug 6, 2022
new-only-augmentation-less blur
v9
Jun 23, 2022
1st-with-leaf
v8
Jun 12, 2022
6-adaptive-equlization
v7
Jun 9, 2022
5-without-isolation-best1
v6
Jun 9, 2022
4-preprocessing
v5
Jun 9, 2022
third-bounding-box-edit
v4
Jun 3, 2022
second--blur-brightness-
v2
Jun 3, 2022
first version-2022-05-30 8:35pm
v1
May 30, 2022
v2
second--blur-brightness-
Generated on Jun 3, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
974 Total Images
View All Images
Dataset Split
Train Set 87%
852Images
Valid Set 8%
82Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Brightness: Between 0% and +30%
Blur: Up to 2px
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