Dataset Versions
Versions
AUG_GAN_Rotate_Sat
v36
· 2 years ago
AUG_by_Gan_Only
v35
· 2 years ago
MS-AUG-SHEAR-BBOX-SHEAR
v34
· 2 years ago
MS-AUG-BBOX-EXP-25-25
v33
· 2 years ago
MS-AUG-BBOX-CROP-0-20
v32
· 2 years ago
MS-AUG-CUTOUT-4-15
v31
· 2 years ago
MS-AUG-BRIGHTNESS-25-25
v30
· 2 years ago
MS-AUG-SHEAR-15-15
v29
· 2 years ago
MS-AUG-FLIP-HOR-VER
v28
· 2 years ago
MS-AUG-FLIP-VER
v27
· 2 years ago
MS-AUG-FLIP-HOR
v26
· 2 years ago
MS-PR-AUTO-AD-CON
v25
· 2 years ago
MS-PR-ISOL-OB
v24
· 2 years ago
AP-PR-AUG-GRAY-NOISE
v22
· 2 years ago
AP-AUG-NOISE
v21
· 2 years ago
MK-AUG-FLIP
v20
· 2 years ago
MK-AUG-BLUR-0-1
v19
· 2 years ago
MK-AUG-HUE-0-60
v18
· 2 years ago
MK-ROT-SAT-15
v17
· 2 years ago
MK-AUG-CROP-0-20
v16
· 2 years ago
BASIC
v15
· 2 years ago
AP-AUG-BBOX-BRI-25
v14
· 2 years ago
AP-AUG-BBOX-ROT
v13
· 2 years ago
AP-AUG-BBOX-NOISE
v12
· 2 years ago
AP-AUG-SAT-15
v11
· 2 years ago
AP-AUG-ROT-15
v10
· 2 years ago
AP-PR-GRAYSCALE
v9
· 2 years ago
AP-PR-AUTO-ORIENT
v8
· 2 years ago
augmentation-test-3
v7
· 2 years ago
augmentation-test-2
v6
· 2 years ago
augmentation-test-1
v5
· 2 years ago
v22
AP-PR-AUG-GRAY-NOISE
Generated on May 21, 2022
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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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312 Total Images
View All Images
Dataset Split
Train Set 77%
240Images
Valid Set 13%
40Images
Test Set 10%
32Images
Preprocessing
Resize: Stretch to 256x256
Grayscale: Applied
Augmentations
Outputs per training example: 3
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%