Dataset Versions
Versions
crop_noise
v11
· 2 years ago
2023-08-17 3:40pm
v10
· 2 years ago
hue_saturation_exposure
v9
· 2 years ago
flip_augmentation
v8
· 2 years ago
mosaic
v7
· 2 years ago
2023-07-08 12:01pm
v6
· 2 years ago
2023-07-08 11:43am
v5
· 2 years ago
2023-06-26 1:36pm
v4
· 2 years ago
2023-06-26 11:31am
v3
· 2 years ago
2023-06-26 10:52am
v2
· 2 years ago
2023-06-26 9:54am
v1
· 2 years ago
v11
crop_noise
Generated on Aug 17, 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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1260 Total Images
View All Images
Dataset Split
Train Set 89%
1120Images
Valid Set 6%
70Images
Test Set 6%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Noise: Up to 3% of pixels