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Versions
2023-07-22 2:07pm
v9
·
2 years ago
2023-07-22 10:47am
v8
·
2 years ago
2023-06-24 9:25pm
v7
·
2 years ago
2023-06-24 9:06pm
v6
·
2 years ago
2023-04-20 11:38pm
v5
·
2 years ago
2023-04-20 11:02pm
v4
·
2 years ago
2023-04-20 10:54pm
v3
·
2 years ago
2023-03-20 3:50pm
v2
·
2 years ago
2023-02-26 8:37pm
v1
·
2 years ago
v7

2023-06-24 9:25pm

Generated on Jun 24, 2023
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478 Total Images

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Dataset Split

Train Set 50%
237Images
Valid Set 5%
24Images
Test Set 45%
217Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -11% and +11%
Brightness: Between -9% and +9%
Exposure: Between -14% and +14%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Similar Projects

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Capstone chips detection
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1 / 13
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
Chips

Classes

Layers

 
Average chips
1
 
Bad chips
5
 
Good chips
3

Unused Classes

1
2
3
bad Chocolate
good Chocolate

Tags

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

Attributes

IMG20230225163439_augmented.jpg

640x640
0.41MP

Updated Aug 13, 55448

5:13PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Flip Applied Per Bounding Box
90° Rotate Applied Per Bounding Box
Flip Horizontal
90° Rotate Applied
Saturation 9%
Brightness 3%
Exposure 3%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "xNUIurM7L95zgDaDYVsm"
    ],
    "destination": "7d6c82855eed018e8009c64018b15820",
    "height": 640,
    "id": "Cf5H4Mc4qeguLtyX5W25",
    "label": [],
    "labels": [],
    "name": "IMG20230225163439_augmented.jpg",
    "numSteps": 9,
    "owner": "er5VM4GD1nYlKa2Fzwwr0UBxYty1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[\"both\"],[\"both\"],[\"horizontal\"],[\"both\"],[\"horizontal\"],[],[],[],[\"horizontal\"]]",
        "ninety:[[0],[0],[180],[90],[90],[180],[-90],[-90],[-90]]",
        "flip:[\"horizontal\"]",
        "ninety:[180]",
        "saturation:[9]",
        "brightness:[3]",
        "exposure:[3]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "9%"
        },
        {
            "name": "Brightness",
            "value": "3%"
        },
        {
            "name": "Exposure",
            "value": "3%"
        }
    ],
    "source": "Cf5H4Mc4qeguLtyX5W25",
    "split": "train",
    "split.xNUIurM7L95zgDaDYVsm.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[\\\"both\\\"],[\\\"both\\\"],[\\\"horizontal\\\"],[\\\"both\\\"],[\\\"horizontal\\\"],[],[],[],[\\\"horizontal\\\"]]\",\n    \"ninety:[[0],[0],[180],[90],[90],[180],[-90],[-90],[-90]]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"ninety:[180]\",\n    \"saturation:[9]\",\n    \"brightness:[3]\",\n    \"exposure:[3]\"\n]",
    "updated": 1687622145211,
    "updatedDate": "Aug 13, 55448",
    "updatedTime": "5:13PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "xNUIurM7L95zgDaDYVsm/7"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Bad chips",
            "x": 123.5,
            "y": 402.5,
            "width": 208,
            "height": 181
        },
        {
            "label": "Bad chips",
            "x": 274.5,
            "y": 535,
            "width": 201,
            "height": 116
        },
        {
            "label": "Bad chips",
            "x": 343.5,
            "y": 220,
            "width": 205,
            "height": 150
        },
        {
            "label": "Bad chips",
            "x": 499,
            "y": 518.5,
            "width": 128,
            "height": 129
        },
        {
            "label": "Bad chips",
            "x": 549.5,
            "y": 306.5,
            "width": 133,
            "height": 133
        },
        {
            "label": "Good chips",
            "x": 200.5,
            "y": 73,
            "width": 223,
            "height": 140
        },
        {
            "label": "Good chips",
            "x": 108,
            "y": 225,
            "width": 156,
            "height": 156
        },
        {
            "label": "Good chips",
            "x": 370,
            "y": 381.5,
            "width": 169,
            "height": 169
        },
        {
            "label": "Average chips",
            "x": 473.5,
            "y": 102.5,
            "width": 159,
            "height": 159
        }
    ],
    "height": 640,
    "key": "IMG20230225163439_augmented.jpg",
    "width": 640
}

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