Dataset Versions
Versions
416-raw-reflected
v16
· 3 years ago
416-sat-bright-blur
v15
· 3 years ago
416-saturation-brightness-null
v14
· 3 years ago
416-saturation-brightness-morenull
v13
· 3 years ago
416-brightness-occlussion
v12
· 3 years ago
416-saturation-brightness
v10
· 3 years ago
raw
v9
· 3 years ago
416-aug-mosaic-exp-blur-rot
v8
· 3 years ago
416-aug-sat-blur-noise-mosaic
v7
· 3 years ago
416-aug-sat-blur-noise
v6
· 3 years ago
416-reflect
v5
· 3 years ago
416-stretch
v4
· 3 years ago
416-raw
v1
· 3 years ago
v10
416-saturation-brightness
Generated on Oct 20, 2021
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TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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2648 Total Images
View All ImagesDataset Split
Train Set 92%
2445Images
Valid Set 8%
203Images
Test Set %
0Images
Preprocessing
Resize: Fit (reflect edges) in 416x416
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%