Mahjong_V2.0 Image Dataset
Versions
2022-09-23 12:35am
v123
Sep 22, 2022
2022-09-07 10:03am
v122
Sep 7, 2022
S_V1.2
v115
May 15, 2022
S_V1.1
v114
May 15, 2022
S_V1.0
v113
May 15, 2022
V5.0
v98
May 11, 2022
V4.2
v73
Apr 21, 2022
V4.1
v72
Apr 20, 2022
v4.0
v68
Apr 20, 2022
V3.6.1
v67
Apr 19, 2022
V3.6
v66
Apr 19, 2022
V3.5.2
v65
Apr 18, 2022
V3.5.1
v60
Apr 18, 2022
V3.5
v59
Apr 17, 2022
V3.4
v58
Apr 17, 2022
V3.3
v57
Apr 17, 2022
V3.2
v44
Apr 17, 2022
V3.1
v43
Apr 16, 2022
V3.0.1
v42
Apr 16, 2022
V3.0
v41
Apr 16, 2022
V2.5
v28
Apr 9, 2022
V2.4
v27
Apr 9, 2022
V2.2
v25
Apr 9, 2022
V2.1.1
v24
Apr 9, 2022
V2.1
v23
Apr 9, 2022
V2.0
v22
Apr 9, 2022
V1.7
v21
Apr 9, 2022
V1.6
v20
Apr 8, 2022
V1.5
v19
Apr 8, 2022
v1.4
v18
Apr 7, 2022
v1.3
v17
Apr 7, 2022
V1.2
v16
Apr 7, 2022
v60
V3.5.1
Generated on Apr 18, 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.
Other Formats
Choose another format.
741 Total Images
View All Images
Dataset Split
Train Set 92%
683Images
Valid Set 8%
58Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 0 remapped, 24 dropped
Augmentations
Outputs per training example: 3
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 1% of pixels
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