Aerial Solar Panels Image Dataset
Versions
2023-02-23 2:33pm
v13
Feb 23, 2023
2023-02-23 2:32pm
v12
Feb 23, 2023
2023-02-23 2:32pm
v11
Feb 23, 2023
2023-02-22 9:58pm
v10
Feb 22, 2023
2023-02-13 4:18pm
v9
Feb 13, 2023
2023-01-10 8:49am
v7
Jan 10, 2023
2022-12-29 3:55pm
v6
Dec 29, 2022
2022-09-08 8:51pm
v5
Sep 9, 2022
2022-08-30 5:00pm
v4
Aug 31, 2022
2022-08-30 4:59pm
v3
Aug 30, 2022
2022-08-30 4:58pm
v2
Aug 30, 2022
2022-08-30 4:27pm
v1
Aug 30, 2022
v4
2022-08-30 5:00pm
Generated on Aug 31, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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274 Total Images
View All Images
Dataset Split
Train Set 92%
252Images
Valid Set 4%
10Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns
Filter Null: Require at least 60% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
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