marine debris Dataset
Versions
2022-12-04 4:02am
v49
· 2 years ago
2022-12-04 4:02am
v48
· 2 years ago
640_3
v46
· 2 years ago
640_2
v45
· 2 years ago
640_1
v44
· 2 years ago
416
v43
· 2 years ago
640
v42
· 2 years ago
2022-11-29 12:45am
v41
· 2 years ago
2022-11-29 12:45am
v40
· 2 years ago
2022-11-29 12:34am
v38
· 2 years ago
640_3
v36
· 2 years ago
640_2
v35
· 2 years ago
640_1
v34
· 2 years ago
640-v2-03
v20
· 2 years ago
640-v2-02
v19
· 2 years ago
640-v2-01
v18
· 2 years ago
416-v2-03
v17
· 2 years ago
416-v2-02
v16
· 2 years ago
416-v2-01
v15
· 2 years ago
count2
v11
· 2 years ago
count
v10
· 2 years ago
03
v7
· 2 years ago
02
v6
· 2 years ago
01
v5
· 2 years ago
v45
640_2
Generated on Dec 2, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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575 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 100%
575Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 416x416
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°