Robosub-detection Dataset
Versions
2023-05-12 1:43pm
v22
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2023-05-11 10:34pm
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2023-05-11 9:49pm
v20
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2023-05-11 9:06pm
v19
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2023-05-09 9:04pm
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2023-05-09 8:42pm
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2023-05-09 8:41pm
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2023-05-09 8:38pm
v15
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2023-05-09 8:33pm
v14
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2023-05-07 11:09pm
v13
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2023-05-07 5:40pm
v12
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2023-05-07 5:39pm
v11
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2023-05-07 5:38pm
v10
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2023-05-07 5:37pm
v9
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2023-05-07 5:30pm
v8
· a year ago
2023-05-07 5:25pm
v7
· a year ago
2023-05-07 5:24pm
v6
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2023-05-07 5:11pm
v5
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2023-05-07 4:46pm
v4
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2023-05-07 4:17pm
v3
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2023-05-07 3:35pm
v2
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2023-05-03 2:19pm
v1
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v7
2023-05-07 5:25pm
Generated on May 7, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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64 Total Images
View All Images
Dataset Split
Train Set 66%
42Images
Valid Set 20%
13Images
Test Set 14%
9Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -50% and +50%
Blur: Up to 1.5px