Dataset Versions

Try Pre-Trained Model
Versions
2023-12-07 4:32pm
v1
·
a year ago
v1

2023-12-07 4:32pm

Generated on Dec 7, 2023
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323 Total Images

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Dataset Split

Train Set 91%
294Images
Valid Set 4%
14Images
Test Set 5%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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Labels
Attributes
Raw Data

Annotations

Group:
gala-images

Classes

 
forest
0

Unused Classes

buildings
glacier
mountain
sea
street

Tags

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Attributes

411.jpg

640x640
0.41MP

Updated Jan 25, 55903

2:20PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "cOpeMmUYF6vEq3SPHBdT"
    ],
    "destination": "1c10ed96c35e39eb1bb8879317efad57",
    "height": 640,
    "id": "EatR9cMSRk9hwnrkriDW",
    "label": [
        "forest"
    ],
    "labels": [
        "forest"
    ],
    "name": "411.jpg",
    "numSteps": 2,
    "owner": "oKbHC1LyxgaS5w1ESz7vUF6P5Zl2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "EatR9cMSRk9hwnrkriDW",
    "split": "train",
    "split.cOpeMmUYF6vEq3SPHBdT.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1701963152428,
    "updatedDate": "Jan 25, 55903",
    "updatedTime": "2:20PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "cOpeMmUYF6vEq3SPHBdT/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 640,
    "key": "411.jpg",
    "width": 640
}
  1. 1
    buildings
  2. 2
    forest
  3. 3
    glacier
  4. 4
    mountain
  5. 5
    sea
  6. 6
    street
180%
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