Ship Recognition Image Dataset
Versions
2023-02-26 6:32pm
v9
Feb 26, 2023
2023-02-24 10:24pm
v8
Feb 24, 2023
2023-02-24 5:40pm
v7
Feb 24, 2023
2023-02-24 3:22pm
v6
Feb 24, 2023
2023-02-23 1:55pm
v5
Feb 23, 2023
2023-02-22 8:19pm
v4
Feb 22, 2023
2023-02-22 2:28pm
v3
Feb 22, 2023
2023-02-22 2:24pm
v2
Feb 22, 2023
2023-02-19 2:33pm
v1
Feb 19, 2023
v9
2023-02-26 6:32pm
Generated on Feb 26, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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
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2859 Total Images
View All Images
Dataset Split
Train Set 92%
2640Images
Valid Set 4%
110Images
Test Set 4%
109Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 30% of images
Blur: Up to 3px
Cutout: 7 boxes with 10% size each
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