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Bangladesh-street-objectdetection

Object Detection

Dataset Versions

Try Pre-Trained Model

v12

2023-11-03 1:01pm

Generated on Nov 3, 2023

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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

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3162 Total Images

View All Images

Dataset Split

Train Set 81%

2550Images

Valid Set 10%

306Images

Test Set 10%

306Images

Preprocessing

Resize: Stretch to 640x640

Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3

Rotation: Between -10° and +10°

Brightness: Between -15% and +15%

Blur: Up to 0.25px

Similar Projects

Annotations

Group: instances-on-streets

Car

Pole

Three-Wheeler

person

Unused Classes

Avoid path

BIKE

Bicycle

Bus

CNG

Dog

Gate

Large pipes

Motorbike

Obstacle

Puddle

Stairs

bag

caution tape

helmet

lake

policecar

tool

truck

wheelbarrow

Attributes

youtube-208.jpg

640x640

0.41MP

Updated Jan 2, 55809

9:52PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize

Stretch to 640x640

Modify Classes

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "ItQw2Bi2kvUoCbReR1Um"
    ],
    "destination": "c1632a18735a8aeaca4be53ed65d082a",
    "height": 640,
    "id": "TwDOnm4I0Oq22jxsVxvn",
    "label": [],
    "labels": [],
    "name": "youtube-208.jpg",
    "numSteps": 2,
    "owner": "w30l6nyhuxarGyb4fQ3IhBtBsSr2",
    "preprocessing": [
        "resize:[\"Stretch to\",640,640]",
        "remap:[\"244e6e71c1e5f465eac13fe7b401692f\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "TwDOnm4I0Oq22jxsVxvn",
    "split": "train",
    "split.ItQw2Bi2kvUoCbReR1Um.11": "train",
    "split.ItQw2Bi2kvUoCbReR1Um.12": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"remap:[\\\"244e6e71c1e5f465eac13fe7b401692f\\\"]\"\n]",
    "updated": 1698994907524,
    "updatedDate": "Jan 2, 55809",
    "updatedTime": "9:52PM",
    "updatedTimezone": "+00:00",
    "user_tags": [
        "youtube:ncULvr7v-kg"
    ],
    "versions": [
        "ItQw2Bi2kvUoCbReR1Um/11",
        "ItQw2Bi2kvUoCbReR1Um/12"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "person",
            "x": 524.5,
            "y": 427,
            "width": 98.5,
            "height": 322.5
        },
        {
            "label": "Three-Wheeler",
            "x": 37.5,
            "y": 442,
            "width": 75,
            "height": 216
        },
        {
            "label": "Car",
            "x": 126.5,
            "y": 407,
            "width": 67,
            "height": 85
        },
        {
            "label": "Car",
            "x": 197.5,
            "y": 386,
            "width": 18,
            "height": 46.5
        },
        {
            "label": "Car",
            "x": 258,
            "y": 379.5,
            "width": 24,
            "height": 32
        },
        {
            "label": "Three-Wheeler",
            "x": 228,
            "y": 390.5,
            "width": 18.5,
            "height": 55
        },
        {
            "label": "Car",
            "x": 159.5,
            "y": 395,
            "width": 14.5,
            "height": 33
        },
        {
            "label": "Car",
            "x": 185.5,
            "y": 391,
            "width": 11,
            "height": 23.5
        },
        {
            "label": "Pole",
            "x": 298,
            "y": 279.5,
            "width": 5,
            "height": 92
        },
        {
            "label": "Pole",
            "x": 239.5,
            "y": 324,
            "width": 4,
            "height": 34.5
        }
    ],
    "height": 640,
    "key": "youtube-208.jpg",
    "width": 640
}

Bangladesh-street-objectdetection

Dataset Versions

2023-11-03 1:01pm

Popular Download Formats

3162 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

youtube-208.jpg

Updated Jan 2, 55809

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data