Dataset Versions

v7

2024-07-10 10:16am

Generated on Jul 10, 2024

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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Dataset Split

Train Set 96%
19884Images
Valid Set 2%
416Images
Test Set 2%
421Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 6
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Noise: Up to 1.96% of pixels

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Waste-detection-Inference
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train
Labels
Attributes
Raw Data

Annotations

Group:
solid-waste

Classes

Layers

 
Entity-Non-living-Waste-Cigarette Butt
1

Unused Classes

Entity-Non-living-Waste
Entity-Non-living-Waste-Aluminium foil
Entity-Non-living-Waste-Bag-Paper bag
Entity-Non-living-Waste-Bag-Plastic bag-Garbage bag
Entity-Non-living-Waste-Bag-Plastic bag-Polypropylene bag
Entity-Non-living-Waste-Bag-Plastic bag-Single-use carrier bag
Entity-Non-living-Waste-Battery
Entity-Non-living-Waste-Blister pack-Aluminium blister pack
Entity-Non-living-Waste-Blister pack-Carded blister pack
Entity-Non-living-Waste-Bottle cap-Metal bottle cap
Entity-Non-living-Waste-Bottle cap-Plastic bottle cap
Entity-Non-living-Waste-Bottle-Clear plastic bottle
Entity-Non-living-Waste-Bottle-Glass bottle
Entity-Non-living-Waste-Bottle-Other plastic bottle
Entity-Non-living-Waste-Broken glass
Entity-Non-living-Waste-Can-Aerosol
Entity-Non-living-Waste-Can-Drink can
Entity-Non-living-Waste-Can-Food Can
Entity-Non-living-Waste-Carton-Corrugated carton
Entity-Non-living-Waste-Carton-Drink carton
Entity-Non-living-Waste-Carton-Egg carton
Entity-Non-living-Waste-Carton-Meal carton
Entity-Non-living-Waste-Carton-Other carton
Entity-Non-living-Waste-Carton-Pizza box
Entity-Non-living-Waste-Carton-Toilet tube
Entity-Non-living-Waste-Cup-Disposable plastic cup
Entity-Non-living-Waste-Cup-Foam cup
Entity-Non-living-Waste-Cup-Glass cup
Entity-Non-living-Waste-Cup-Other plastic cup
Entity-Non-living-Waste-Cup-Paper cup
Entity-Non-living-Waste-Food waste
Entity-Non-living-Waste-Glass jar
Entity-Non-living-Waste-Lid-Metal lid
Entity-Non-living-Waste-Lid-Plastic lid
Entity-Non-living-Waste-Other plastic
Entity-Non-living-Waste-Paper-Magazine paper
Entity-Non-living-Waste-Paper-Normal paper
Entity-Non-living-Waste-Paper-Tissues
Entity-Non-living-Waste-Paper-Wrapping paper
Entity-Non-living-Waste-Plastic container-Disposable food container
Entity-Non-living-Waste-Plastic container-Foam food container
Entity-Non-living-Waste-Plastic container-Other plastic container
Entity-Non-living-Waste-Plastic container-Spread tub
Entity-Non-living-Waste-Plastic container-Tupperware
Entity-Non-living-Waste-Plastic glooves
Entity-Non-living-Waste-Plastic utensils
Entity-Non-living-Waste-Plastic wrapper-Crisp packet
Entity-Non-living-Waste-Plastic wrapper-Other plastic wrapper
Entity-Non-living-Waste-Plastic wrapper-Plastic film
Entity-Non-living-Waste-Plastic wrapper-Six pack rings
Entity-Non-living-Waste-Pop tab
Entity-Non-living-Waste-Rope & strings
Entity-Non-living-Waste-Rope - strings
Entity-Non-living-Waste-Scrap metal
Entity-Non-living-Waste-Shoe
Entity-Non-living-Waste-Squeezable tube
Entity-Non-living-Waste-Straw-Paper straw
Entity-Non-living-Waste-Straw-Plastic straw
Entity-Non-living-Waste-Styrofoam piece
Entity-Non-living-Waste-Unknown

Tags

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

Attributes

00001521.jpg

484x484
0.23MP

Updated Nov 6, 56493

8:57PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Crop Keep 90%
Centered on 69%, 14%
Noise 0.43%

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "AYSyWtoRLPMqlTKT5mIf"
    ],
    "destination": "6dfed7584e2768eb34502621e4faa82e",
    "height": 484,
    "id": "X5fL3TAqnScDG1yDXoz2",
    "label": [],
    "labels": [],
    "name": "00001521.jpg",
    "numSteps": 2,
    "owner": "TpfmMbi4bma5hLfGYZnrwUctyAU2",
    "preprocessing": [
        "crop:[90,0.691617,0.141706]",
        "noise:[0.43,540262]"
    ],
    "preprocessingParsed": [
        {
            "name": "Crop",
            "value": "Keep 90%<br />Centered on 69%, 14%"
        },
        {
            "name": "Noise",
            "value": "0.43%"
        }
    ],
    "source": "X5fL3TAqnScDG1yDXoz2",
    "split": "train",
    "split.AYSyWtoRLPMqlTKT5mIf.7": "train",
    "status": "generated",
    "transforms": "[\n    \"crop:[90,0.691617,0.141706]\",\n    \"noise:[0.43,540262]\"\n]",
    "updated": 1720606568273,
    "updatedDate": "Nov 6, 56493",
    "updatedTime": "8:57PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "AYSyWtoRLPMqlTKT5mIf/7"
    ],
    "width": 484
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Entity-Non-living-Waste-Cigarette Butt",
            "x": 190.5,
            "y": 291.5,
            "width": 58,
            "height": 58,
            "points": [
                [
                    219.5,
                    304
                ],
                [
                    214,
                    298.5
                ],
                [
                    195,
                    288.5
                ],
                [
                    188.5,
                    282
                ],
                [
                    182.5,
                    271
                ],
                [
                    181.5,
                    265
                ],
                [
                    179,
                    262.5
                ],
                [
                    167,
                    268.5
                ],
                [
                    162.5,
                    277
                ],
                [
                    161.5,
                    283
                ],
                [
                    209,
                    319.5
                ],
                [
                    213,
                    320.5
                ],
                [
                    214.5,
                    314
                ],
                [
                    217.5,
                    313
                ],
                [
                    219.5,
                    309
                ],
                [
                    219.5,
                    304
                ]
            ],
            "keypoints": []
        }
    ],
    "height": 484,
    "key": "00001521.jpg",
    "width": 484
}
                                

                                

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