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
v4
2023-12-20 9:30am
Generated on Dec 20, 2023
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TXT annotations and YAML config used with YOLOv9.
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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.
COCO JSON
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.
Pascal VOC XML
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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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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715 Total Images
View All Images
Dataset Split
Train Set 88%
627Images
Valid Set 8%
59Images
Test Set 4%
29Images
Preprocessing
Resize: Fit (black edges) in 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Cutout: 3 boxes with 10% size each
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