All the Mugs Image Dataset
Versions
2023-11-10 2:14pm
v36
Nov 10, 2023
2022-08-09 10:30am
v33
Aug 9, 2022
v28 checkpoint - 3x aug
v32
Mar 25, 2022
v30 checkpoint - 5x aug
v31
Mar 25, 2022
v28 checkpoint no aug
v30
Mar 25, 2022
COCO checkpoint no aug
v28
Mar 25, 2022
from scratch no aug
v27
Mar 24, 2022
Grayscale aug only
v25
Mar 14, 2022
Grayscale test 2
v24
Mar 14, 2022
grayscale test
v23
Mar 14, 2022
Mugs v20
v22
Mar 8, 2022
Mugs v19
v19
Oct 7, 2021
Mugs v18
v18
Sep 27, 2021
test
v17
Sep 22, 2021
Mugs v15
v15
Sep 16, 2021
Mugs v14
v14
Sep 15, 2021
Mugs v13
v13
Sep 15, 2021
Mugs v12
v12
Sep 15, 2021
Test Mug set
v11
Sep 9, 2021
Mugs v10
v10
Sep 7, 2021
Mugs v8 Best
v8
Aug 31, 2021
Test model
v6
Aug 13, 2021
Mugs v3
v4
Jul 7, 2021
Mugs v2
v3
Jul 5, 2021
Mugs v1
v1
Jul 4, 2021
v19
Mugs v19
Generated on Oct 7, 2021
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.
5420 Total Images
View All Images
Dataset Split
Train Set 98%
5304Images
Valid Set 1%
73Images
Test Set 1%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 12
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Hue: Between -40° and +40°
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 4.25px
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