Dataset Versions

v5

2023-04-22 11:33pm

Generated on Apr 22, 2023

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Dataset Split

Train Set 80%
2845Images
Valid Set 13%
442Images
Test Set 7%
249Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 22 remapped, 14 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 1
Blur: Up to 1.25px

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4acontest
Annotate
IMG_0017_MOV-18.jpg
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train
Labels
Attributes
Raw Data

Annotations

Group:
stuff

CLASSES

LAYERS

 
Ball
3

Unused Classes

0
Back
Ball orange
Ball white
Balls
Bounds
Corner
Cross
Front
Orangeball
Palka
Robot
ball
bbox
blue
blue_ball
blue_stick
blueball
blueball_reflection
cube
cylinder
dead_victim
living_victim
marble
metal
orange
orange_ball
pingpang
red
red_ball
redball
redball Reflection
robot
sphere
yellow_ball

Tags

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

Attributes

IMG_0017_MOV-18.jpg

640x640
0.41MP

Updated Apr 22, 2023

9:33PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Fit (black edges) in 640x640
Modify Classes Applied
Blur 1.25px

Annotation History

Loading...

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "0": 56,
        "Ball": 78,
        "orange_ball": 28,
        "Ball orange": 160,
        "Palka": 36,
        "Cross": 58,
        "red_ball": 10,
        "Front": 46,
        "bbox": 388,
        "blue_stick": 30,
        "red": 676,
        "robot": 73,
        "ball": 639,
        "Corner": 281,
        "sphere": 150,
        "yellow_ball": 42,
        "Back": 46,
        "pingpang": 27,
        "cube": 150,
        "redball": 142,
        "blueball": 121,
        "Bounds": 317,
        "blue_ball": 10,
        "metal": 30,
        "Orangeball": 28,
        "living_victim": 135,
        "orange": 7,
        "marble": 289,
        "blueball_reflection": 42,
        "blue": 724,
        "redball Reflection": 32,
        "dead_victim": 83,
        "cylinder": 150,
        "Balls": 3190,
        "Robot": 46,
        "Ball white": 647
    },
    "datasets": [
        "VGuxfHE9ksT54SUUbxJI"
    ],
    "destination": "2582fd54b6da4b1a07bf79b47fa987e8",
    "height": 640,
    "id": "4medepRAcqMFWMguQeDd",
    "label": [],
    "labels": [],
    "name": "IMG_0017_MOV-18.jpg",
    "numSteps": 4,
    "owner": "6Bjv5suGSGNZlxsgwwNY3xtYjBL2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",640,640]",
        "remap:[\"36cbd1441cca4c933a48a31707abcb79\"]",
        "blur:[1.25]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        },
        {
            "name": "Blur",
            "value": "1.25px"
        }
    ],
    "source": "4medepRAcqMFWMguQeDd",
    "split": "train",
    "split.VGuxfHE9ksT54SUUbxJI.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",640,640]\",\n    \"remap:[\\\"36cbd1441cca4c933a48a31707abcb79\\\"]\",\n    \"blur:[1.25]\"\n]",
    "updated": {
        "_seconds": 1682199227,
        "_nanoseconds": 91000000
    },
    "updatedDate": "Apr 22, 2023",
    "updatedTime": "9:33PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "VGuxfHE9ksT54SUUbxJI/5"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "Ball",
            "x": 566,
            "y": 214,
            "width": 37,
            "height": 32
        },
        {
            "label": "Ball",
            "x": 446,
            "y": 234,
            "width": 35,
            "height": 33
        },
        {
            "label": "Ball",
            "x": 342,
            "y": 299,
            "width": 48,
            "height": 50
        }
    ],
    "height": 640,
    "key": "IMG_0017_MOV-18.jpg",
    "width": 640
}

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