Dataset Versions
Versions
dataset puro
v20
· 2 years ago
2022-06-28 9:12pm
v19
· 2 years ago
2022-06-28 6:34pm
v18
· 2 years ago
2022-06-28 6:27pm
v17
· 2 years ago
oficialofiacial2
v14
· 2 years ago
oficial1
v10
· 2 years ago
2022-06-28 2:47pm
v9
· 2 years ago
2022-06-28 4:15am
v8
· 2 years ago
2022-06-27 9:57pm
v7
· 2 years ago
2022-06-27 7:15pm
v6
· 2 years ago
2022-06-27 4:10pm
v4
· 2 years ago
2022-06-27 5:16am
v3
· 2 years ago
2022-06-27 3:45am
v2
· 2 years ago
2022-06-27 3:03am
v1
· 2 years ago
v14
oficialofiacial2
Generated on Jun 28, 2022
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YOLOv11
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 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).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1477 Total Images
View All Images
Dataset Split
Train Set 90%
1335Images
Valid Set 9%
133Images
Test Set 1%
9Images
Preprocessing
Isolate Objects: Applied
Resize: Fit (black edges) in 416x416
Modify Classes: 30 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 3% of pixels