MonitoringCoral Image Dataset
Versions
2024-01-14 2:35pm
v16
Jan 14, 2024
2024-01-14 1:27pm
v15
Jan 14, 2024
2024-01-12 10:44pm
v14
Jan 12, 2024
2024-01-11 7:13am
v13
Jan 11, 2024
2023-12-28 10:10pm
v12
Dec 28, 2023
2023-12-28 5:09am
v11
Dec 27, 2023
2023-11-08 10:16pm
v10
Nov 8, 2023
2023-11-08 10:14pm
v9
Nov 8, 2023
2023-11-08 10:14pm
v8
Nov 8, 2023
2023-10-29 10:27pm
v7
Oct 29, 2023
2023-10-22 9:20pm
v6
Oct 22, 2023
2023-10-22 7:46pm
v5
Oct 22, 2023
2023-10-22 7:02pm
v4
Oct 22, 2023
2023-10-22 10:35am
v3
Oct 22, 2023
2023-10-22 10:31am
v2
Oct 22, 2023
2023-10-22 10:29am
v1
Oct 22, 2023
v16
2024-01-14 2:35pm
Generated on Jan 14, 2024
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
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11980 Total Images
View All Images
Dataset Split
Train Set 89%
10674Images
Valid Set 7%
885Images
Test Set 4%
421Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 49% of images
Blur: Up to 4.3px
Cutout: 4 boxes with 9% size each
Bounding Box: Crop: 0% Minimum Zoom, 52% Maximum Zoom
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