Dataset Versions
Versions
2023-05-01 12:21pm
v23
· 2 years ago
single class defect aug prep
v22
· 2 years ago
5 classes isolated grayscale no aug
v21
· 2 years ago
5 classes grayscale no augmn full images
v20
· 2 years ago
4 classes grayscale full images no aug
v19
· 2 years ago
3 classes full images aug_gray_flip
v18
· 2 years ago
isolated object SCRATCH
v14
· 2 years ago
isolated object MISSING-HEAD
v13
· 2 years ago
isolated object DENT
v12
· 2 years ago
isolated object CRACK
v11
· 2 years ago
isolated object 4 classes
v10
· 2 years ago
single class defect with pre-psg and augm
v8
· 2 years ago
Roboflow AutoML single class defect
v7
· 2 years ago
YOLOV5 single defect class
v6
· 2 years ago
YoloV5 stock
v5
· 2 years ago
Roboflow 2.0 Model -stock-2023-04-17 4-46pm
v1
· 2 years ago
v18
3 classes full images aug_gray_flip
Generated on Apr 27, 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.
2996 Total Images
View All Images
Dataset Split
Train Set 89%
2676Images
Valid Set 5%
160Images
Test Set 5%
160Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 100% of images