Dataset Versions
Versions
s640_c17_aug2_tiling_2022-10-12 1-07pm
v11
· 2 years ago
sfull_c17_aug2_2022-10-11 10-49pm
v10
· 2 years ago
s640_c59_aug2_2022-10-11 9-13pm
v9
· 2 years ago
s640-c17_aug_2022-10-10 9-18pm
v8
· 2 years ago
s640_c59_aug_2022-10-09 3-38pm
v6
· 2 years ago
s640_c59_bare_2022-10-09 3-02pm
v5
· 2 years ago
s416_c59_bare_2022-10-05_9-34am
v4
· 2 years ago
s416_c17_bare_2022-10-05_9-30am
v3
· 2 years ago
s416_c17_augmented_2022-10-02_8-24pm
v2
· 2 years ago
s416_c17_augmented-with-cutout-noise_2022-09-29_6-16pm
v1
· 2 years ago
v8
s640-c17_aug_2022-10-10 9-18pm
Generated on Oct 10, 2022
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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3599 Total Images
View All Images
Dataset Split
Train Set 88%
3150Images
Valid Set 8%
299Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 59 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -10° and +10°
Blur: Up to 1px
Mosaic: Applied