dataset_rupiah_yolo Image Dataset
Versions
2023-07-05 2:34pm
v17
Jul 5, 2023
2023-07-05 12:36am
v16
Jul 4, 2023
2023-07-04 6:58pm
v15
Jul 4, 2023
2023-07-04 4:35pm
v14
Jul 4, 2023
2023-07-03 9:44pm
v13
Jul 3, 2023
2023-07-03 9:21pm
v12
Jul 3, 2023
2023-05-21 2:49am
v11
May 20, 2023
2023-05-21 2:44am
v10
May 20, 2023
2023-05-21 2:42am
v9
May 20, 2023
2023-05-20 8:46pm
v7
May 20, 2023
v7
2023-05-20 8:46pm
Generated on May 20, 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.
6678 Total Images
View All Images
Dataset Split
Train Set 87%
5841Images
Valid Set 8%
555Images
Test Set 4%
282Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -18% and +18%
Exposure: Between -25% and +25%
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