dataset_pig_cam2 Image Dataset
Versions
2023-08-10 8:49am
v18
· a year ago
2023-08-03 1:50pm
v17
· a year ago
2023-07-14 3:27pm
v16
· a year ago
2023-07-14 3:21pm
v15
· a year ago
2023-07-14 3:12pm
v13
· a year ago
2023-07-14 3:08pm
v12
· a year ago
2023-07-14 3:02pm
v10
· a year ago
2023-07-14 2:55pm
v8
· a year ago
2023-07-14 2:53pm
v7
· a year ago
2023-07-14 2:38pm
v5
· a year ago
2023-07-10 8:24am
v2
· a year ago
2023-07-05 9:13am
v1
· a year ago
v18
2023-08-10 8:49am
Generated on Aug 10, 2023
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TXT annotations and YAML config used with YOLOv9.
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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).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1686 Total Images
View All Images
Dataset Split
Train Set 85%
1425Images
Valid Set 9%
151Images
Test Set 7%
110Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
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