Dataset Versions

v1

2023-05-06 6:35pm

Generated on May 6, 2023

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Dataset Split

Train Set 92%
7986Images
Valid Set 4%
329Images
Test Set 4%
331Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical

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YoloV7 - Trash Dataset V7 - 05/06/2023
Annotate
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train
Labels
Attributes
Raw Data

Annotations

Group:
trash-trashes

Classes

Layers

 
Plastic-Bag
1

Unused Classes

Cans
Cardboard
Colored Glass Bottles
Colored-Glass-Bottles
Face Mask
Face-Mask
Glass Bottle
Paper Bag
Paper Cup
Paper-Cup
PaperBag
Paperboard
Peel
Pile of Leaves
Plastic Bag
Plastic Bottle
Plastic Cup
Plastic Wrapper
Plastic-Bottle
Plastic-Wrapper
PlasticCups
Rags
Styrofoam
Tetra Pack
Tetra Pak
Tetra-Pak
TetraPak

Tags

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Type and select tags below to add them to the image.

Attributes

IMG_7115_JPG.jpg

640x640
0.41MP

Updated Nov 7, 55313

1:40PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Flip Horizontal
90° Rotate Applied
Rotation
Shear X: -13°
Y: 0°

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "Cans": 703,
        "Cardboard": 1074,
        "Colored Glass Bottles": 90,
        "Colored-Glass-Bottles": 186,
        "Face Mask": 314,
        "Face-Mask": 673,
        "Glass Bottle": 274,
        "Paper Bag": 1592,
        "Paper Cup": 265,
        "Paper-Cup": 192,
        "PaperBag": 5,
        "Paperboard": 445,
        "Peel": 189,
        "Pile of Leaves": 425,
        "Plastic Bag": 572,
        "Plastic Bottle": 761,
        "Plastic Cup": 255,
        "Plastic Wrapper": 2030,
        "Plastic-Bag": 142,
        "Plastic-Bottle": 504,
        "Plastic-Wrapper": 439,
        "PlasticCups": 286,
        "Rags": 154,
        "Styrofoam": 475,
        "Tetra Pack": 274,
        "Tetra Pak": 104,
        "Tetra-Pak": 532,
        "TetraPak": 48
    },
    "datasets": [
        "wgUTQK8ceeNj0wSa9WzD"
    ],
    "destination": "2d2a1c90f1cd500eba0edcc158e98417",
    "height": 640,
    "id": "vtgx2ZhVh4zoZ9H8NxeX",
    "label": [],
    "labels": [],
    "name": "IMG_7115_JPG.jpg",
    "numSteps": 6,
    "owner": "Kt9bqbsDwEeZ2ipvDcbt",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"horizontal\"]",
        "ninety:[90]",
        "rotate:[3]",
        "shear:[-13,0]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "3°"
        },
        {
            "name": "Shear",
            "value": "X: -13°<br/>Y: 0°"
        }
    ],
    "source": "vtgx2ZhVh4zoZ9H8NxeX",
    "split": "train",
    "split.wgUTQK8ceeNj0wSa9WzD.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"ninety:[90]\",\n    \"rotate:[3]\",\n    \"shear:[-13,0]\"\n]",
    "updated": 1683369351658,
    "updatedDate": "Nov 7, 55313",
    "updatedTime": "1:40PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "wgUTQK8ceeNj0wSa9WzD/1"
    ],
    "width": 640
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "label": "Plastic-Bag",
            "x": 315.03885197430026,
            "y": 369,
            "width": 100.25952611057255,
            "height": 109
        }
    ],
    "height": 640,
    "key": "IMG_7115_JPG.rf.6d4fb282697d0b67ff2b0577057caee4.jpg",
    "width": 640
}
                                

                                

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