Dataset Versions
Versions
2024-03-30 11:20am
v71
· 9 months ago
2024-03-30 10:50am
v70
· 9 months ago
2023-12-02 9:53am
v69
· a year ago
2023-11-21 3:19pm
v68
· a year ago
2023-11-21 2:45pm
v67
· a year ago
2023-11-21 2:04pm
v66
· a year ago
2023-11-21 1:45pm
v65
· a year ago
2023-11-21 11:10am
v63
· a year ago
2023-11-16 3:50pm
v62
· a year ago
2023-11-16 3:31pm
v61
· a year ago
2023-11-16 2:38pm
v60
· a year ago
2023-11-16 1:04pm
v59
· a year ago
2023-11-16 11:54am
v58
· a year ago
Pothole detection -_-
v57
· a year ago
2023-11-11 3:57pm
v56
· a year ago
2023-11-11 3:15pm
v55
· a year ago
82- pothole 58- alligator
v36
· a year ago
66- no cracks included
v27
· a year ago
asd
v21
· a year ago
2023-11-08 3:50pm
v19
· a year ago
2023-11-08 8:28am
v15
· a year ago
2023-11-08 7:34am
v14
· a year ago
2023-11-07 7:43pm
v13
· a year ago
2023-11-07 6:17pm
v11
· a year ago
2023-11-07 2:21pm
v10
· a year ago
2023-11-07 1:40pm
v9
· a year ago
2023-11-07 1:18pm
v8
· a year ago
2023-11-04 1:24pm
v7
· a year ago
2023-11-04 9:01am
v5
· a year ago
2023-10-24 4:31pm
v4
· a year ago
2023-10-24 4:31pm
v3
· a year ago
2023-09-03 8:57am
v1
· a year ago
v10
2023-11-07 2:21pm
Generated on Nov 7, 2023
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.
Other Formats
Choose another format.
689 Total Images
View All Images
Dataset Split
Train Set 83%
573Images
Valid Set 12%
86Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -22° and +22°
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise