Dataset Versions
Versions
Large cracks for final distribution -augmented-
v23
· 9 months ago
Large cracks for final distribution
v22
· 9 months ago
test
v21
· 9 months ago
2024-03-14 2:16pm
v20
· 9 months ago
final
v19
· 9 months ago
2024-03-12 12:37pm
v15
· 9 months ago
v5-balanced
v14
· 9 months ago
large data set
v9
· 9 months ago
yolo_nas_wpreprocess
v8
· 9 months ago
2024-03-11 11:35am
v7
· 9 months ago
small-cracks-sahi
v6
· 9 months ago
v4
v4
· 9 months ago
2024-03-08 7:11pm
v2
· 9 months ago
2024-03-05 10:13pm
v1
· 9 months ago
v9
large data set
Generated on Mar 11, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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5520 Total Images
View All Images
Dataset Split
Train Set 76%
4188Images
Valid Set 23%
1252Images
Test Set 1%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Shear: ±14° Horizontal, ±9° Vertical
Brightness: Between -34% and +34%
Blur: Up to 0.4px
Noise: Up to 0.89% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±16° Horizontal, ±35° Vertical