crack_seg_test Image Dataset
Versions
2024-03-28 11:42am
v16
Mar 28, 2024
2024-03-28 11:14am
v15
Mar 28, 2024
2023-11-06 10:08pm
v14
Nov 6, 2023
2023-11-06 5:21pm
v13
Nov 6, 2023
2023-11-06 3:47pm
v12
Nov 6, 2023
2023-11-06 1:52pm
v11
Nov 6, 2023
2023-11-04 1:06pm
v10
Nov 4, 2023
2023-10-31 10:44am
v9
Oct 31, 2023
2023-10-30 6:24pm
v4
Oct 30, 2023
2023-10-28 11:27pm
v1
Oct 28, 2023
v16
2024-03-28 11:42am
Generated on Mar 28, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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918 Total Images
View All ImagesDataset Split
Train Set 98%
898Images
Valid Set 2%
20Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Blur: Up to 4.5px
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