Cloud Detection Image Dataset
Versions
2024-06-25 6:24pm
v9
· 6 days ago
2024-06-21 7:44am
v8
· 10 days ago
2024-06-20 6:52pm
v7
· 11 days ago
2024-06-18 5:52am
v6
· 13 days ago
2024-06-17 3:49pm
v5
· 14 days ago
2024-06-17 12:00pm
v4
· 14 days ago
2024-06-17 7:12am
v3
· 14 days ago
2024-06-14 3:57pm
v2
· 17 days ago
2024-06-03 12:45pm
v1
· a month ago
v6
2024-06-18 5:52am
Generated on Jun 18, 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.
Other Formats
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1550 Total Images
View All Images
Dataset Split
Train Set 87%
1356Images
Valid Set 8%
130Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 38% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
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