동전 Dataset
Versions
2023-06-23 8:00pm
v14
· a year ago
2023-06-23 7:58pm
v13
· a year ago
2023-06-23 1:17pm
v10
· a year ago
2023-06-23 1:16pm
v9
· a year ago
2023-06-23 1:14pm
v8
· a year ago
2023-06-23 1:13pm
v7
· a year ago
2023-06-22 4:05pm
v6
· a year ago
2023-06-22 1:29pm
v5
· a year ago
2023-06-21 3:41pm
v4
· a year ago
2023-06-21 2:54pm
v3
· a year ago
2023-06-21 2:51pm
v2
· a year ago
2023-06-21 2:30pm
v1
· a year ago
v6
2023-06-22 4:05pm
Generated on Jun 22, 2023
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
Choose another format.
3170 Total Images
View All ImagesDataset Split
Train Set 75%
2368Images
Valid Set 13%
400Images
Test Set 13%
402Images
Preprocessing
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -49% and +49%
Brightness: Between -29% and +29%
Blur: Up to 5px
Cutout: 4 boxes with 29% size each