Dataset Versions

v3

2024-02-08 11:15pm

Generated on Feb 8, 2024

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Dataset Split

Train Set 100%
6868Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%

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Snake detection
Annotate
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train
Labels
Attributes
Raw Data

Annotations

Group:
Snakes

Classes

Layers

 
Hump-nosed pit viper
1

Unused Classes

Common Indian Krait
Green Vine Snake
Indian Cobra
Python
Russell's Viper

Tags

No Tags Applied
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Attributes

large-27-.jpg

680x453
0.31MP

Updated Oct 22, 56075

2:00AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Saturation 24%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "2WsEplwUxDey5nT37IHW"
    ],
    "destination": "f59ded3ea1b8a23f4e8cf8c7180e7a9e",
    "height": 453,
    "id": "a1SXy3gBf3b6b7HnXpWn",
    "label": [],
    "labels": [],
    "name": "large-27-.jpg",
    "numSteps": 1,
    "owner": "AN2a4EnCsshhRwTVuNAUClAQFct1",
    "preprocessing": [
        "saturation:[24]"
    ],
    "preprocessingParsed": [
        {
            "name": "Saturation",
            "value": "24%"
        }
    ],
    "source": "a1SXy3gBf3b6b7HnXpWn",
    "split": "train",
    "split.2WsEplwUxDey5nT37IHW.3": "train",
    "status": "generated",
    "transforms": "[\n    \"saturation:[24]\"\n]",
    "updated": 1707414343214,
    "updatedDate": "Oct 22, 56075",
    "updatedTime": "2:00AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2WsEplwUxDey5nT37IHW/3"
    ],
    "width": 680
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "label": "Hump-nosed pit viper",
            "x": 316.54,
            "y": 233.45,
            "width": 372.66999999999996,
            "height": 280.51
        }
    ],
    "height": 453,
    "key": "large (27).jpg",
    "width": 680
}
                                

                                

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