Dataset Versions
Versions
dataset_ilya_augment
v17
· a year ago
Aug for digls
v16
· a year ago
Aug for rushplay
v15
· a year ago
Aug for kluvis
v13
· a year ago
Aug for Bibeliti
v12
· a year ago
2023-11-29 5:13pm
v11
· a year ago
2023-11-28 5:06am
v10
· a year ago
2023-11-28 4:28am
v9
· a year ago
2023-11-28 4:24am
v8
· a year ago
2023-11-26 3:02pm
v7
· a year ago
2023-11-26 1:08pm
v6
· a year ago
2023-11-26 1:02pm
v5
· a year ago
2023-11-26 10:25am
v4
· a year ago
2023-11-19 2:01am
v3
· a year ago
2023-11-18 11:44pm
v1
· a year ago
v1
2023-11-18 11:44pm
Generated on Nov 18, 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).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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148 Total Images
View All Images
Dataset Split
Train Set 87%
129Images
Valid Set 9%
13Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%