Dataset Versions
Versions
larger_resize_variation
v17
· a year ago
w_null_houses
v14
· a year ago
2023-10-21 5:50pm
v13
· a year ago
rebalanced_images
v12
· a year ago
2023-10-21 3:49pm
v11
· a year ago
2023-10-21 3:32pm
v10
· a year ago
2023-10-21 2:30pm
v9
· a year ago
2023-10-21 2:29pm
v8
· a year ago
2023-10-21 2:28pm
v7
· a year ago
2023-10-21 2:27pm
v6
· a year ago
2023-10-21 2:25pm
v5
· a year ago
2023-07-20 12:00pm
v4
· a year ago
2022-12-05 8:32pm
v3
· 2 years ago
2022-12-05 8:24pm
v2
· 2 years ago
2022-12-05 7:30pm
v1
· 2 years ago
v3
2022-12-05 8:32pm
Generated on Dec 5, 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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138 Total Images
View All Images
Dataset Split
Train Set 87%
120Images
Valid Set 7%
10Images
Test Set 6%
8Images
Preprocessing
Static Crop: 0-100% Horizontal Region, 19-100% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom