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All the Mugs

Object Detection

All the Mugs Image Dataset

Try Pre-Trained Model
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
v1

Mugs v1

Generated on Jul 4, 2021
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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390 Total Images

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Dataset Split

Train Set 92%
360Images
Valid Set 5%
20Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
Rotation: Between -25° and +25°
Hue: Between -30° and +30°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 3px