Dataset Versions

v3

2024-04-25 5:52am

Generated on Apr 25, 2024

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Dataset Split

Train Set 85%
7845Images
Valid Set 10%
946Images
Test Set 5%
422Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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SKV
Annotate
0000bee39176697a.jpg
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train
Labels
Attributes
Raw Data

Annotations

Group:
Daily-objects

CLASSES

LAYERS

 
Shirt
1

Unused Classes

0
1
2
3
4
5
Apple
Ball
Banana
Book
Bottle
Bus
Cake
Car
Cat
Chair
Clock
Clothing
Dog
Doll
Door
Earrings
Egg
Envelope
Flower
Football
Footwear
Fork
Frog
Fruit
Grape
Hammer
Headphones
Jug
Knife
Ladder
Lemon
Mango
Mobile-phone
Orange
Pen
Person
Pizza
Plant
Potato
Rabbit
Rose
Sandal
Scale
Scarf
Scissors
Skirt
Sock
Spoon
Stapler
Strawberry
Table
Tea
Teddy-bear
Television
Toilet
Tomato
Toothbrush
Torch
Toy
Trousers
Truck
Umbrella
Watch

Tags

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

Attributes

0000bee39176697a.jpg

640x640
0.41MP

Updated Apr 25, 2024

12:23AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "0": 38,
        "1": 40,
        "2": 44,
        "3": 33,
        "4": 38,
        "5": 50,
        "Ball": 257,
        "Hammer": 139,
        "Toilet": 207,
        "Stapler": 59,
        "Clock": 188,
        "Tomato": 757,
        "Lemon": 346,
        "Orange": 737,
        "Torch": 20,
        "Potato": 320,
        "Bottle": 439,
        "Shirt": 191,
        "Book": 937,
        "Strawberry": 923,
        "Umbrella": 297,
        "Dog": 215,
        "Earrings": 311,
        "Clothing": 691,
        "Scarf": 175,
        "Banana": 323,
        "Headphones": 171,
        "Skirt": 187,
        "Car": 368,
        "Grape": 534,
        "Cat": 180,
        "Spoon": 211,
        "Teddy-bear": 225,
        "Person": 584,
        "Toy": 634,
        "Fork": 250,
        "Sock": 304,
        "Chair": 592,
        "Cake": 206,
        "Mango": 422,
        "Rabbit": 220,
        "Rose": 417,
        "Doll": 250,
        "Envelope": 177,
        "Knife": 222,
        "Plant": 514,
        "Watch": 175,
        "Jug": 224,
        "Toothbrush": 219,
        "Bus": 248,
        "Flower": 731,
        "Mobile-phone": 222,
        "Sandal": 343,
        "Table": 261,
        "Egg": 298,
        "Fruit": 898,
        "Frog": 185,
        "Footwear": 811,
        "Scale": 138,
        "Truck": 248,
        "Football": 168,
        "Door": 220,
        "Trousers": 289,
        "Pizza": 203,
        "Tea": 185,
        "Apple": 582,
        "Ladder": 191,
        "Television": 236,
        "Scissors": 213,
        "Pen": 231
    },
    "datasets": [
        "V4VJLxSEGEANOp4gWqcD"
    ],
    "destination": "d807b6ba7e2857417bed31dc3fc3974b",
    "height": 640,
    "id": "ukgaqUfsfmC7PKKMcqbh",
    "label": [],
    "labels": [],
    "name": "0000bee39176697a.jpg",
    "numSteps": 1,
    "owner": "AIfb0ylvAXcsKK6XYJKPSCY6QMJ3",
    "preprocessing": [
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "ukgaqUfsfmC7PKKMcqbh",
    "split": "train",
    "split.V4VJLxSEGEANOp4gWqcD.3": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1714004584,
        "_nanoseconds": 709000000
    },
    "updatedDate": "Apr 25, 2024",
    "updatedTime": "12:23AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "V4VJLxSEGEANOp4gWqcD/3"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "Shirt",
            "x": 467,
            "y": 429,
            "width": 328,
            "height": 421
        }
    ],
    "height": 640,
    "key": "0000bee39176697a.jpg",
    "width": 640
}

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