Dataset Versions

Versions
2023-04-01 11:42am
v2
·
2 years ago
2023-04-01 9:17am
v1
·
2 years ago
v2

2023-04-01 11:42am

Generated on Apr 1, 2023
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1434 Total Images

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Dataset Split

Train Set 100%
1434Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%

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Objects 2022 Instance Segmentation
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Labels
Attributes
Raw Data

Annotations

Group:
household-items

Classes

Layers

 
cleaner
1
 
knife
1
 
pringles
1
 
tonic
1

Unused Classes

apple
bowl
condensed milk
corn flakes
corn starch
fork
green apple
guarana
kiwi
orange
plate
sponge
spoon

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

2.jpg

640x640
0.41MP

Updated Jun 30, 55218

1:12AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Flip Vertical
90° Rotate Applied
Rotation -12°
Shear X: -12°
Y: -15°
Hue 2°
Exposure -16%

Annotation History

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Raw Data

Source Data

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    "label": [],
    "labels": [],
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    "numSteps": 8,
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        {
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        {
            "name": "Rotation",
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        {
            "name": "Shear",
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        },
        {
            "name": "Hue",
            "value": "2°"
        },
        {
            "name": "Exposure",
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        }
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    "split": "train",
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    "updatedTimezone": "+00:00",
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    ],
    "width": 640
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