Mug Detector Image Dataset
Versions
2023-06-22 9:11pm
v15
Jun 22, 2023
2023-06-22 8:20pm
v14
Jun 22, 2023
2023-06-22 8:17pm
v13
Jun 22, 2023
2023-01-06 6:07pm
v12
Jan 6, 2023
2023-01-05 3:05pm
v11
Jan 5, 2023
2023-01-05 3:04pm
v10
Jan 5, 2023
2023-01-05 3:04pm
v9
Jan 5, 2023
2023-01-05 3:04pm
v8
Jan 5, 2023
2023-01-05 3:01pm
v7
Jan 5, 2023
2023-01-05 2:41pm
v6
Jan 5, 2023
2023-01-05 2:41pm
v5
Jan 5, 2023
2023-01-05 2:41pm
v4
Jan 5, 2023
2023-01-05 2:41pm
v3
Jan 5, 2023
2023-01-05 2:39pm
v2
Jan 5, 2023
2022-12-28 2:02pm
v1
Dec 28, 2022
v14
2023-06-22 8:20pm
Generated on Jun 22, 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.
377 Total Images
View All Images
Dataset Split
Train Set 92%
348Images
Valid Set 5%
17Images
Test Set 3%
12Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Crop: 12% Minimum Zoom, 71% Maximum Zoom
Rotation: Between -45° and +45°
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