Dataset Versions

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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
Annotate
7 / 12
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
Chips

Classes

Layers

 
Bad chips
3
 
Good chips
6

Unused Classes

1
2
3
Average chips
bad Chocolate
good Chocolate

Tags

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

Attributes

IMG20230225162242_augmented.jpg

640x640
0.41MP

Updated Aug 13, 55448

3:46PM
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 Vertical
90° Rotate Applied
Saturation -5%
Brightness -3%
Exposure 11%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "xNUIurM7L95zgDaDYVsm"
    ],
    "destination": "0554cfc29013fd33f75aa2697c409e2f",
    "height": 640,
    "id": "17o4wHsfeCxjzU0P1ZZX",
    "label": [],
    "labels": [],
    "name": "IMG20230225162242_augmented.jpg",
    "numSteps": 9,
    "owner": "er5VM4GD1nYlKa2Fzwwr0UBxYty1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[\"horizontal\"],[\"horizontal\"],[\"vertical\"],[\"both\"],[],[],[\"horizontal\"],[\"vertical\"],[\"vertical\"]]",
        "ninety:[[0],[180],[-90],[0],[0],[180],[0],[90],[0]]",
        "flip:[\"vertical\"]",
        "ninety:[90]",
        "saturation:[-5]",
        "brightness:[-3]",
        "exposure:[11]"
    ],
    "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": "Vertical"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "-5%"
        },
        {
            "name": "Brightness",
            "value": "-3%"
        },
        {
            "name": "Exposure",
            "value": "11%"
        }
    ],
    "source": "17o4wHsfeCxjzU0P1ZZX",
    "split": "train",
    "split.xNUIurM7L95zgDaDYVsm.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[\\\"horizontal\\\"],[\\\"horizontal\\\"],[\\\"vertical\\\"],[\\\"both\\\"],[],[],[\\\"horizontal\\\"],[\\\"vertical\\\"],[\\\"vertical\\\"]]\",\n    \"ninety:[[0],[180],[-90],[0],[0],[180],[0],[90],[0]]\",\n    \"flip:[\\\"vertical\\\"]\",\n    \"ninety:[90]\",\n    \"saturation:[-5]\",\n    \"brightness:[-3]\",\n    \"exposure:[11]\"\n]",
    "updated": 1687622139965,
    "updatedDate": "Aug 13, 55448",
    "updatedTime": "3:46PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "xNUIurM7L95zgDaDYVsm/7"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Good chips",
            "x": 562,
            "y": 428,
            "width": 156,
            "height": 246
        },
        {
            "label": "Good chips",
            "x": 372,
            "y": 274,
            "width": 184,
            "height": 240
        },
        {
            "label": "Good chips",
            "x": 111,
            "y": 498,
            "width": 177,
            "height": 177
        },
        {
            "label": "Good chips",
            "x": 221,
            "y": 167.5,
            "width": 122,
            "height": 183
        },
        {
            "label": "Good chips",
            "x": 232.5,
            "y": 375,
            "width": 151,
            "height": 194
        },
        {
            "label": "Good chips",
            "x": 405,
            "y": 524,
            "width": 154,
            "height": 190
        },
        {
            "label": "Bad chips",
            "x": 317.5,
            "y": 64.5,
            "width": 147,
            "height": 129
        },
        {
            "label": "Bad chips",
            "x": 106,
            "y": 184,
            "width": 148,
            "height": 148
        },
        {
            "label": "Bad chips",
            "x": 530,
            "y": 133.5,
            "width": 136,
            "height": 213
        }
    ],
    "height": 640,
    "key": "IMG20230225162242_augmented.jpg",
    "width": 640
}

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