Ship Recognition Dataset
Versions
2023-02-26 6:32pm
v9
· 2 years ago
2023-02-24 10:24pm
v8
· 2 years ago
2023-02-24 5:40pm
v7
· 2 years ago
2023-02-24 3:22pm
v6
· 2 years ago
2023-02-23 1:55pm
v5
· 2 years ago
2023-02-22 8:19pm
v4
· 2 years ago
2023-02-22 2:28pm
v3
· 2 years ago
2023-02-22 2:24pm
v2
· 2 years ago
2023-02-19 2:33pm
v1
· 2 years ago
v3
2023-02-22 2:28pm
Generated on Feb 22, 2023
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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.
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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
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Grayscale: Apply to 25% of images
Noise: Up to 15% of pixels