Dataset Versions
Versions
Noise1.21-Bright25
v16
· 10 months ago
Noise1.21-Exp15
v15
· 10 months ago
Noise1.21-Rot15-Shear15
v14
· 10 months ago
Shear15
v13
· 10 months ago
Rot15
v12
· 10 months ago
Rot15- Shear15
v11
· 10 months ago
Noise1.21-Blur4px-Rot15-Bright25-Exp15-Shear15
v10
· 10 months ago
Noise1.21- Blur4px- Rot15- Bright25- Exp15
v9
· 10 months ago
Noise1.21- Blur4px- Rot15- Bright25
v8
· 10 months ago
Noise- Blur- Rotation - 15
v7
· 10 months ago
Noise and Blur
v6
· 10 months ago
Added Noise 1.25
v5
· 10 months ago
Full Dataset
v4
· a year ago
5 Image Test - Renamed Class
v3
· a year ago
5 Image Test
v2
· a year ago
v10
Noise1.21-Blur4px-Rot15-Bright25-Exp15-Shear15
Generated on Jan 10, 2024
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TXT annotations and YAML config used with YOLOv11.
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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).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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36 Total Images
View All ImagesDataset Split
Train Set 100%
36Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.21% of pixels