Beanie Boos vs. Humans Image Dataset
Versions
2024-03-01 1:25pm
v10
· 4 months ago
2024-02-28 12:30pm
v9
· 4 months ago
2024-02-28 12:15pm
v8
· 4 months ago
2024-02-26 9:26am
v7
· 4 months ago
2024-02-20 11:43pm
v6
· 4 months ago
2023-12-21 2:10pm
v5
· 6 months ago
2023-12-20 9:30am
v4
· 6 months ago
2023-12-19 9:03pm
v3
· 6 months ago
2023-12-19 1:30pm
v2
· 6 months ago
2023-12-19 12:16pm
v1
· 6 months ago
v9
2024-02-28 12:30pm
Generated on Feb 28, 2024
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TXT annotations and YAML config used with YOLOv9.
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COCO JSON
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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2098 Total Images
View All Images
Dataset Split
Train Set 87%
1833Images
Valid Set 13%
265Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 640x480
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Blur: Up to 1.8px
Noise: Up to 1.53% of pixels
Cutout: 3 boxes with 10% size each
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