Dataset Versions
Versions
Validation
v17
· a year ago
Augmentation_1040_
v16
· 2 years ago
400_image_Train_80_valida_20
v15
· 2 years ago
Data_400 image -train100
v13
· 2 years ago
Data_1200 Train 100-
v12
· 2 years ago
yolov8_400_image_New_Augmentation
v11
· 2 years ago
Data 400 Not Augmentation
v10
· 2 years ago
2023-05-13 11:32pm
v9
· 2 years ago
2023-05-12 12:14am
v8
· 2 years ago
2023-05-11 8:31pm
v7
· 2 years ago
2023-05-11 2:03pm
v6
· 2 years ago
2023-05-11 2:03pm
v5
· 2 years ago
2023-05-09 4:49pm
v4
· 2 years ago
2023-05-09 4:44pm
v3
· 2 years ago
2023-05-06 5:56pm
v2
· 2 years ago
2023-05-06 3:04pm
v1
· 2 years ago
v17
Validation
Generated on Jul 20, 2023
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TXT annotations and YAML config used with YOLOv8.
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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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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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400 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 100%
400Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -25° and +25°
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom