Dataset Versions
Versions
2023-09-04 1:51pm
v18
· a year ago
val_kitchen_no_resize
v16
· a year ago
2 sets - no resize
v15
· a year ago
4 sets - no resize
v14
· a year ago
4 sets minor aug - no resize
v13
· a year ago
2 sets minor aug - no resize
v11
· a year ago
2 sets - light aug
v10
· a year ago
4 sets - light aug
v9
· a year ago
Filter Ultimate version pre augmentation
v8
· a year ago
my kitchen
v7
· a year ago
Head - Bowl
v6
· a year ago
2023-07-12 10:24pm
v5
· a year ago
2023-07-12 11:59am
v4
· a year ago
2023-07-11 11:41pm
v3
· a year ago
2023-07-11 10:35pm
v2
· a year ago
2023-07-11 9-39pm
v1
· a year ago
v2
2023-07-11 10:35pm
Generated on Jul 11, 2023
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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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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).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1825 Total Images
View All ImagesDataset Split
Train Set 94%
1716Images
Valid Set 2%
41Images
Test Set 4%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Noise: Up to 5% of pixels
Cutout: 15 boxes with 10% size each
Mosaic: Applied
Bounding Box: Rotation: Between -20° and +20°