Dataset Versions

v3

2023-01-31 1:25pm

Generated on Jan 31, 2023

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Dataset Split

Train Set 88%
285Images
Valid Set 8%
26Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -27% and +27%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 6.25px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
bear_detection
Annotate
img-118-.jpg
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
beard

CLASSES

LAYERS

 
15
1

Tags

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

Attributes

img-118-.jpg

640x640
0.41MP

Updated Jan 31, 2023

7:55AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Grayscale Applied
Auto-Adjust Contrast Histogram Equalization
Exposure Applied Per Bounding Box
Blur Applied Per Bounding Box
Flip Vertical
Saturation 18%
Brightness 3%
Exposure 10%
Blur 0.75px
Noise 1.5%

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "15": 139
    },
    "datasets": [
        "UcU1hsd89enn2NFNV9YY"
    ],
    "destination": "e5cbf8b8af9ab5f895d42a9b7c793058",
    "height": 640,
    "id": "Ik1ugvC07wXPf4oK7Hgk",
    "label": [],
    "labels": [],
    "name": "img-118-.jpg",
    "numSteps": 12,
    "owner": "arC7QnMMQqYL1FwUQnm1eUHqll92",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "auto-contrast:[\"Histogram Equalization\"]",
        "exposure:[[-15]]",
        "blur:[[0.25]]",
        "flip:[\"vertical\"]",
        "saturation:[18]",
        "brightness:[3]",
        "exposure:[10]",
        "blur:[0.75]",
        "noise:[1.5,158165]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Histogram Equalization"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Vertical"
        },
        {
            "name": "Saturation",
            "value": "18%"
        },
        {
            "name": "Brightness",
            "value": "3%"
        },
        {
            "name": "Exposure",
            "value": "10%"
        },
        {
            "name": "Blur",
            "value": "0.75px"
        },
        {
            "name": "Noise",
            "value": "1.5%"
        }
    ],
    "source": "Ik1ugvC07wXPf4oK7Hgk",
    "split": "train",
    "split.UcU1hsd89enn2NFNV9YY.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\",\n    \"auto-contrast:[\\\"Histogram Equalization\\\"]\",\n    \"exposure:[[-15]]\",\n    \"blur:[[0.25]]\",\n    \"flip:[\\\"vertical\\\"]\",\n    \"saturation:[18]\",\n    \"brightness:[3]\",\n    \"exposure:[10]\",\n    \"blur:[0.75]\",\n    \"noise:[1.5,158165]\"\n]",
    "updated": {
        "_seconds": 1675151742,
        "_nanoseconds": 133000000
    },
    "updatedDate": "Jan 31, 2023",
    "updatedTime": "7:55AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "UcU1hsd89enn2NFNV9YY/3"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "15",
            "x": 323,
            "y": 133,
            "width": 250.25,
            "height": 230.25
        }
    ],
    "height": 640,
    "key": "img--118-_jpg.rf.c11a2c12f07c0a35e707025d4cc82a48.jpg",
    "width": 640
}

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