Plugs Image Dataset
Versions
2023-01-28 4:25am
v16
Jan 27, 2023
2023-01-28 4:00am
v15
Jan 27, 2023
2023-01-28 2:31am
v14
Jan 27, 2023
2023-01-28 2:14am
v13
Jan 27, 2023
2023-01-28 1:51am
v12
Jan 27, 2023
2023-01-28 1:30am
v11
Jan 27, 2023
2023-01-26 5:53am
v10
Jan 26, 2023
2023-01-25 8:53pm
v9
Jan 25, 2023
2023-01-24 11:35pm
v8
Jan 24, 2023
2023-01-24 4:44pm
v7
Jan 24, 2023
2023-01-24 4:34pm
v6
Jan 24, 2023
2023-01-24 4:09pm
v5
Jan 24, 2023
Test
v4
Jan 24, 2023
v5
2023-01-24 4:09pm
Generated on Jan 24, 2023
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.
9 Total Images
View All Images
Dataset Split
Train Set 67%
6Images
Valid Set 11%
1Images
Test Set 22%
2Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -36% and +36%
Exposure: Between -20% and +20%
Noise: Up to 3% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
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