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density-traffic-controller-v1

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-01-20 12:20pm

Generated on Jan 20, 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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4508 Total Images

View All Images

Dataset Split

Train Set 68%

3076Images

Valid Set 20%

916Images

Test Set 11%

516Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 1

Bounding Box: Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

object-detection

vid71img-704.jpg

640x640

0.41MP

Updated Apr 7, 55023

2:41AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Tile

Row: 1 of 2
Column: 2 of 2

Resize

Stretch to 640x640

Noise

Applied Per Bounding Box

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "z9cakGGhIjkv715ksDEG"
    ],
    "destination": "2cc0fc3639305884c6fd8ecd3ea5f3a6",
    "height": 640,
    "id": "blclHpkij60gVrHkERPD",
    "label": [],
    "labels": [],
    "name": "vid71img-704.jpg",
    "numSteps": 4,
    "owner": "PDPixCveHCZJwSLbiXR0WXETbVz1",
    "preprocessing": [
        "auto-orient",
        "tile:[1,0,2,2]",
        "resize:[\"Stretch to\",640,640]",
        "noise:[[2.25,948849],[2.75,178588],[2.5,60321],[4.5,744738],[0.75,436298],[2.5,729444],[0.5,71500],[1.75,323354],[4.25,595697],[3,862550]]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Tile",
            "value": "Row: 1 of 2<br/>Column: 2 of 2"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Noise",
            "value": "Applied Per Bounding Box"
        }
    ],
    "source": "blclHpkij60gVrHkERPD",
    "split": "train",
    "split.z9cakGGhIjkv715ksDEG.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"tile:[1,0,2,2]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"noise:[[2.25,948849],[2.75,178588],[2.5,60321],[4.5,744738],[0.75,436298],[2.5,729444],[0.5,71500],[1.75,323354],[4.25,595697],[3,862550]]\"\n]",
    "updated": 1674199248087,
    "updatedDate": "Apr 7, 55023",
    "updatedTime": "2:41AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "z9cakGGhIjkv715ksDEG/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "rickshaw",
            "x": 24.5,
            "y": 380.5,
            "width": 49,
            "height": 291.25
        },
        {
            "label": "bike",
            "x": 108,
            "y": 425,
            "width": 34.25,
            "height": 150
        },
        {
            "label": "bike",
            "x": 218,
            "y": 434,
            "width": 58.25,
            "height": 139.75
        },
        {
            "label": "bike",
            "x": 358.5,
            "y": 417.5,
            "width": 67,
            "height": 149
        },
        {
            "label": "bike",
            "x": 481.5,
            "y": 426,
            "width": 61,
            "height": 124
        },
        {
            "label": "bike",
            "x": 575.5,
            "y": 402.5,
            "width": 50,
            "height": 155
        },
        {
            "label": "rickshaw",
            "x": 324,
            "y": 271.5,
            "width": 78,
            "height": 156.75
        },
        {
            "label": "car",
            "x": 350,
            "y": 585.5,
            "width": 580,
            "height": 109
        }
    ],
    "height": 640,
    "key": "vid71img-704.jpg",
    "width": 640
}

density-traffic-controller-v1

Dataset Versions

2023-01-20 12:20pm

Popular Download Formats

4508 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

vid71img-704.jpg

Updated Apr 7, 55023

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data