MIT River Herring 2 Dataset
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2023-06-30 7:37am
v40
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2023-06-28 2:45pm
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v38
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2023-06-28 11:39am
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2023-06-28 8:59am
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2023-06-27 11:32pm
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2023-06-25 12:36pm
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2023-06-24 10:35pm
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2023-06-23 1:24pm
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2023-06-23 11:30am
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2023-06-23 10:10am
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2023-06-23 7:32am
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2023-06-22 8:39pm
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2023-06-22 5:30pm
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2023-06-22 2:30pm
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2023-06-22 1:46pm
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2023-06-22 11:40am
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2023-06-22 10:51am
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2023-06-22 9:30am
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2023-06-21 2:48pm
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2023-06-21 11:59am
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2023-06-21 8:10am
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2023-06-20 10:21pm
v4
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v3
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2023-06-20 10:38am
v1
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v18
2023-06-22 8:39pm
Generated on Jun 23, 2023
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
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3333 Total Images
View All Images
Dataset Split
Train Set 91%
3037Images
Valid Set 3%
92Images
Test Set 6%
204Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 480x640
Augmentations
Outputs per training example: 3
Blur: Up to 4px
Bounding Box: Crop: 0% Minimum Zoom, 14% Maximum Zoom
Bounding Box: Brightness: Between -25% and +0%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels