underwater-detection Image Dataset
Versions
2022-08-26 11:58pm
v35
Aug 26, 2022
2022-08-26 8:17pm
v34
Aug 26, 2022
2022-08-26 8:00pm
v33
Aug 26, 2022
2022-08-26 7:42pm
v32
Aug 26, 2022
2022-07-27 6:53pm
v31
Jul 27, 2022
2022-07-27 6:30pm
v30
Jul 27, 2022
2022-07-27 6:26pm
v29
Jul 27, 2022
2022-07-27 6:02pm
v27
Jul 27, 2022
2022-07-27 5:08pm
v26
Jul 27, 2022
2022-07-27 4:47pm
v25
Jul 27, 2022
2022-07-27 4:43pm
v24
Jul 27, 2022
2022-07-22 10:43pm
v23
Jul 22, 2022
2022-07-22 10:12pm
v19
Jul 22, 2022
2022-07-22 9:29pm
v16
Jul 22, 2022
2022-07-22 8:53pm
v14
Jul 22, 2022
2022-07-22 8:48pm
v13
Jul 22, 2022
2022-07-22 8:26pm
v12
Jul 22, 2022
2022-07-22 8:04pm
v11
Jul 22, 2022
2022-07-22 5:17pm
v10
Jul 22, 2022
2022-07-22 5:15pm
v9
Jul 22, 2022
2022-07-22 5:14pm
v8
Jul 22, 2022
2022-07-22 5:14pm
v7
Jul 22, 2022
2022-07-22 5:08pm
v6
Jul 22, 2022
2022-07-22 4:35pm
v5
Jul 22, 2022
2022-07-22 4:11pm
v4
Jul 22, 2022
2022-07-22 3:48pm
v3
Jul 22, 2022
2022-07-21 2:38pm
v1
Jul 21, 2022
v12
2022-07-22 8:26pm
Generated on Jul 22, 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.
1598 Total Images
View All Images
Dataset Split
Train Set 87%
1395Images
Valid Set 8%
134Images
Test Set 4%
69Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -10% and +10%
Blur: Up to 3px
Cutout: 5 boxes with 10% size each
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