Mug Detector Image Dataset
Versions
2023-06-22 10:18pm
v13
Jun 22, 2023
2023-05-19 4:47pm
v12
May 19, 2023
2023-05-19 4:41pm
v11
May 19, 2023
2023-05-18 5:48pm
v10
May 18, 2023
2023-05-18 5:05pm
v9
May 18, 2023
2023-01-05 2:40pm
v8
Jan 5, 2023
2023-01-04 1:32pm
v7
Jan 4, 2023
2023-01-04 10:48am
v6
Jan 4, 2023
2022-11-04 9:15am
v4
Nov 4, 2022
2022-11-03 3:49pm
v3
Nov 3, 2022
2022-11-03 1:27pm
v2
Nov 3, 2022
2022-11-03 12:52pm
v1
Nov 3, 2022
v3
2022-11-03 3:49pm
Generated on Nov 3, 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.
147 Total Images
View All Images
Dataset Split
Train Set 86%
126Images
Valid Set 7%
11Images
Test Set 7%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
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