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2024-04-26 1:15pm
v11
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a year ago
2024-04-02 10:54pm
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2024-04-01 8:00pm
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2024-03-30 9:11pm
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2024-03-30 1-57pm
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2024-03-30 10:15am
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2024-03-21 4:12pm
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2024-03-19 9:16pm
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2024-03-19 12:57am
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2024-03-08 5:14pm
v1
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v3

2024-03-19 9:15pm

Generated on Mar 19, 2024
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13 Total Images

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Dataset Split

Train Set 92%
12Images
Valid Set 8%
1Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: hard
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -6° and +6°
Shear: ±8° Horizontal, ±4° Vertical
Saturation: Between -14% and +14%
Blur: Up to 0.7px
Noise: Up to 1.45% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -18° and +18°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 0.86% of pixels

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Hard-soft object Detection
Annotate
10 / 12
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train
Labels
Attributes
Raw Data

Annotations

Group:
hard-soft-neutral

Classes

Layers

 
hard
1

Unused Classes

hard-soft-neutral
soft

Tags

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Type and select tags below to add them to the image.
  • youtube:NAmVU3eQ8Hs

Attributes

yt-NAmVU3eQ8Hs-0001.jpg

640x640
0.41MP

Updated Aug 9, 56185

11:27PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Static Crop X: 52.929688% to 61.914063%
Y: 65.972222% to 80.208333%
Resize Stretch to 640x640
Auto-Adjust Contrast Adaptive Equalization

Annotation History

Loading...

Raw Data

Source Data

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    "destination": "622cc64293e43496b0f7728cd50519af",
    "height": 640,
    "id": "F0zKrYuQMqZLD90rvgnD",
    "label": [],
    "labels": [],
    "name": "yt-NAmVU3eQ8Hs-0001.jpg",
    "numSteps": 4,
    "owner": "x5scxbHapwVlEEnffI44UuORNT22",
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"52.929688\",\"61.914063\",\"65.972222\",\"80.208333\"]",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Adaptive Equalization\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 52.929688% to 61.914063%<br/>Y: 65.972222% to 80.208333%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        }
    ],
    "source": "F0zKrYuQMqZLD90rvgnD",
    "split": "train",
    "split.AyBmH7RG4eM0mRXilFOK.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"52.929688\\\",\\\"61.914063\\\",\\\"65.972222\\\",\\\"80.208333\\\"]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\"\n]",
    "updated": 1710879319638,
    "updatedDate": "Aug 9, 56185",
    "updatedTime": "11:27PM",
    "updatedTimezone": "+00:00",
    "user_tags": [
        "youtube:NAmVU3eQ8Hs"
    ],
    "versions": [
        "AyBmH7RG4eM0mRXilFOK/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "hard",
            "x": 320.463768,
            "y": 321.038961,
            "width": 639.072464,
            "height": 637.922078,
            "points": [
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                [
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                ],
                [
                    640,
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                ]
            ]
        }
    ],
    "height": 640,
    "key": "yt-NAmVU3eQ8Hs-0001.jpg",
    "width": 640
}

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