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
v8
single class defect with pre-psg and augm
Generated on Apr 25, 2023
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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14304 Total Images
View All Images
Dataset Split
Train Set 88%
12528Images
Valid Set 8%
1184Images
Test Set 4%
592Images
Preprocessing
Resize: Stretch to 800x400
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 4 rows x 4 columns
Modify Classes: 5 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Blur: Up to 5px
Noise: Up to 10% of pixels
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -50% and +50%
Bounding Box: Exposure: Between -51% and +51%