Yakushima Image Dataset
Versions
2023-01-30 5:15pm
v13
Jan 30, 2023
2023-01-30 4:50pm
v12
Jan 30, 2023
2023-01-23 4:30pm
v11
Jan 23, 2023
2023-01-20 5:50pm
v10
Jan 20, 2023
2023-01-20 12:03pm
v9
Jan 20, 2023
2023-01-18 5:36pm
v8
Jan 18, 2023
2023-01-17 5:11pm
v7
Jan 17, 2023
2023-01-13 4:40pm
v6
Jan 13, 2023
2023-01-12 2:39pm
v5
Jan 12, 2023
2023-01-12 2:32pm
v4
Jan 12, 2023
2023-01-11 4:52pm
v3
Jan 11, 2023
2023-01-11 2:57pm
v2
Jan 11, 2023
2022-11-22 4:01pm
v1
Nov 22, 2022
v4
2023-01-12 2:32pm
Generated on Jan 12, 2023
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.
Other Formats
Choose another format.
1209 Total Images
View All Images
Dataset Split
Train Set 88%
1059Images
Valid Set 8%
97Images
Test Set 4%
53Images
Preprocessing
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
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