Edit Project

question object labeling

Object Detection

Dataset Versions

2024-10-31 5:05am

2024-10-30 6:54am

Generated on Oct 30, 2024

Download Dataset

Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

Choose another format.

117 Total Images

View All Images

Dataset Split

Train Set 100%

117Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

objects

T7_LC_NFP_MIT-Cropped.jpg

970x606

0.59MP

Updated Aug 24, 56802

12:18AM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "y8wuZLGtqjFIHz9ijL9L"
    ],
    "destination": "cecdbe52d2874779fe64dd1ae8bcf476",
    "height": 606,
    "id": "WZt0R5OmIfjP3mGvqdn0",
    "label": [],
    "labels": [],
    "name": "T7_LC_NFP_MIT-Cropped.jpg",
    "numSteps": 0,
    "owner": "1vj1zN40fXZvLY18I9ocK3bnVFP2",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "WZt0R5OmIfjP3mGvqdn0",
    "split": "train",
    "split.y8wuZLGtqjFIHz9ijL9L.2": "train",
    "split.y8wuZLGtqjFIHz9ijL9L.3": "train",
    "split.y8wuZLGtqjFIHz9ijL9L.4": "train",
    "status": "generated",
    "transforms": "[]",
    "updated": 1730351117907,
    "updatedDate": "Aug 24, 56802",
    "updatedTime": "12:18AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "y8wuZLGtqjFIHz9ijL9L/2",
        "y8wuZLGtqjFIHz9ijL9L/3",
        "y8wuZLGtqjFIHz9ijL9L/4"
    ],
    "width": 970
}

Annotation Data

{
    "boxes": [
        {
            "id": "3",
            "type": "polygon",
            "label": "person-2",
            "x": 415,
            "y": 340.5,
            "width": 454,
            "height": 531,
            "points": [
                [
                    481,
                    85
                ],
                [
                    468,
                    100
                ],
                [
                    456,
                    123
                ],
                [
                    451,
                    162
                ],
                [
                    461,
                    209
                ],
                [
                    448,
                    222
                ],
                [
                    336,
                    286
                ],
                [
                    212,
                    280
                ],
                [
                    191,
                    281
                ],
                [
                    188,
                    286
                ],
                [
                    220,
                    382
                ],
                [
                    232,
                    395
                ],
                [
                    252,
                    403
                ],
                [
                    267,
                    415
                ],
                [
                    321,
                    479
                ],
                [
                    370,
                    527
                ],
                [
                    371,
                    537
                ],
                [
                    358,
                    568
                ],
                [
                    357,
                    579
                ],
                [
                    368,
                    591
                ],
                [
                    372,
                    606
                ],
                [
                    609,
                    606
                ],
                [
                    585,
                    517
                ],
                [
                    559,
                    469
                ],
                [
                    556,
                    435
                ],
                [
                    547,
                    423
                ],
                [
                    547,
                    414
                ],
                [
                    553,
                    406
                ],
                [
                    587,
                    412
                ],
                [
                    613,
                    422
                ],
                [
                    631,
                    442
                ],
                [
                    642,
                    445
                ],
                [
                    636,
                    419
                ],
                [
                    633,
                    342
                ],
                [
                    622,
                    312
                ],
                [
                    622,
                    290
                ],
                [
                    634,
                    267
                ],
                [
                    627,
                    258
                ],
                [
                    613,
                    250
                ],
                [
                    610,
                    230
                ],
                [
                    592,
                    202
                ],
                [
                    578,
                    130
                ],
                [
                    564,
                    106
                ],
                [
                    543,
                    87
                ],
                [
                    527,
                    79
                ],
                [
                    499,
                    75
                ]
            ]
        },
        {
            "id": "1",
            "type": "polygon",
            "label": "Map-1",
            "x": 393.9286,
            "y": 392.8571,
            "width": 410.7143,
            "height": 225.7143,
            "points": [
                [
                    188.5714285714286,
                    279.99999999999994
                ],
                [
                    343.57142857142856,
                    285.00000000000006
                ],
                [
                    443.5714285714286,
                    315.7142857142858
                ],
                [
                    563.5714285714287,
                    334.28571428571433
                ],
                [
                    599.2857142857142,
                    505.71428571428584
                ],
                [
                    439.2857142857143,
                    502.8571428571429
                ],
                [
                    320.7142857142857,
                    425.71428571428567
                ],
                [
                    285.71428571428567,
                    347.1428571428571
                ],
                [
                    232.1428571428571,
                    333.57142857142856
                ]
            ]
        },
        {
            "id": "2",
            "type": "polygon",
            "label": "person-2",
            "x": 757.5,
            "y": 322,
            "width": 425,
            "height": 568,
            "points": [
                [
                    635,
                    79
                ],
                [
                    634,
                    97
                ],
                [
                    625,
                    124
                ],
                [
                    625,
                    150
                ],
                [
                    620,
                    170
                ],
                [
                    630,
                    183
                ],
                [
                    642,
                    257
                ],
                [
                    633,
                    265
                ],
                [
                    620,
                    290
                ],
                [
                    619,
                    308
                ],
                [
                    634,
                    346
                ],
                [
                    634,
                    364
                ],
                [
                    641,
                    383
                ],
                [
                    649,
                    437
                ],
                [
                    640,
                    449
                ],
                [
                    634,
                    447
                ],
                [
                    621,
                    428
                ],
                [
                    606,
                    420
                ],
                [
                    560,
                    410
                ],
                [
                    549,
                    413
                ],
                [
                    545,
                    423
                ],
                [
                    553,
                    433
                ],
                [
                    556,
                    460
                ],
                [
                    566,
                    485
                ],
                [
                    602,
                    521
                ],
                [
                    621,
                    526
                ],
                [
                    653,
                    523
                ],
                [
                    689,
                    545
                ],
                [
                    684,
                    575
                ],
                [
                    700,
                    597
                ],
                [
                    700,
                    606
                ],
                [
                    970,
                    606
                ],
                [
                    970,
                    417
                ],
                [
                    944,
                    384
                ],
                [
                    925,
                    373
                ],
                [
                    915,
                    303
                ],
                [
                    916,
                    268
                ],
                [
                    896,
                    249
                ],
                [
                    852,
                    243
                ],
                [
                    840,
                    170
                ],
                [
                    788,
                    76
                ],
                [
                    766,
                    52
                ],
                [
                    744,
                    42
                ],
                [
                    684,
                    47
                ],
                [
                    675,
                    39
                ],
                [
                    665,
                    38
                ],
                [
                    651,
                    52
                ]
            ]
        }
    ],
    "height": 606,
    "key": "T7_LC_NFP_MIT Cropped.jpg",
    "width": 970
}

question object labeling

Dataset Versions

2024-10-30 6:54am

Popular Download Formats

117 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

T7_LC_NFP_MIT-Cropped.jpg

Updated Aug 24, 56802

Generated by Roboflow

Training Set

Annotation History

Raw Data

Source Data

Annotation Data