Sedimentary features Image Dataset
Versions
2022-09-11_Abdullah_Augmented
v22
Sep 11, 2022
2022-09-11_Augmented_4c
v21
Sep 11, 2022
2022-09-11_Augmented_5c
v20
Sep 11, 2022
2022-09-01 3-04pm_WithMassive
v19
Sep 1, 2022
2022-09-01 10:54am
v18
Sep 1, 2022
2022-07-27 10:56am
v4
Jul 27, 2022
2022-07-27 10:30am
v3
Jul 27, 2022
2022-07-24 10:28am
v2
Jul 24, 2022
2022-07-21 3:43pm
v1
Jul 21, 2022
v1
2022-07-21 3:43pm
Generated on Jul 21, 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.
534 Total Images
View All Images
Dataset Split
Train Set 88%
468Images
Valid Set 8%
45Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
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