Water Level Dataset
Versions
2024-02-20 10:37am
v11
· 7 months ago
2024-02-20 9:14am
v10
· 7 months ago
2024-02-15 7:54pm
v9
· 7 months ago
2024-02-15 6:54pm
v8
· 7 months ago
2024-02-15 6:35pm
v7
· 7 months ago
2024-02-15 6:12pm
v6
· 7 months ago
2024-02-15 5:43pm
v5
· 7 months ago
2024-02-13 1:35pm
v4
· 7 months ago
2024-02-12 9:44pm
v3
· 8 months ago
2024-02-12 9:03pm
v2
· 8 months ago
2024-02-12 4:11pm
v1
· 8 months ago
v9
2024-02-15 7:54pm
Generated on Feb 15, 2024
Popular Download Formats
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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198 Total Images
View All Images
Dataset Split
Train Set 83%
165Images
Valid Set 15%
29Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 24% of images
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.76% of pixels