Pedestrain Attribute Detection

Object Detection

Dataset Versions

2024-05-13 12:31am

2024-05-12 11:42pm

v2

2024-05-13 12:31am

Generated on May 12, 2024

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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.

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820 Total Images

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Dataset Split

Train Set 95%

780Images

Valid Set 2%

20Images

Test Set 2%

20Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3

Crop: 8% Minimum Zoom, 20% Maximum Zoom

Brightness: Between -10% and +10%

Noise: Up to 0.22% of pixels

Bounding Box: Crop: 0% Minimum Zoom, 5% Maximum Zoom

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Pedestrain Attribute Detection

Annotate

2 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

pedestrian-attributes

CLASSES

LAYERS

Bag

2

Female_Pedestrian

1

Male_Pedestrian

1

Shirt_White

1

T-shirt_White

1

Trousers_Black

1

Trousers_Blue

1

shoes

6

Unused Classes

Backpack

Boots

Cap

Coat_Black

Coat_Blue

Coat_Brown

Coat_Green

Coat_Red

Coat_White

Coat_Yellow

Glasses

Shirt_Black

Shirt_Blue

Shirt_Brown

Shirt_Green

Shirt_Red

Shirt_Yellow

Shorts_Black

Shorts_Blue

Shorts_Brown

Shorts_Green

Shorts_Red

Shorts_White

Shorts_Yellow

Skirt_Black

Skirt_Blue

Skirt_Brown

Skirt_Green

Skirt_Red

Skirt_White

Skirt_Yellow

T-shirt_Black

T-shirt_Blue

T-shirt_Brown

T-shirt_Green

T-shirt_Red

T-shirt_Yellow

Trousers_Brown

Trousers_Green

Trousers_Red

Trousers_White

Trousers_Yellow

Umbrella

Tags

No Tags Applied

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

Attributes

FudanPed00004.png

720x720

0.52MP

Updated May 12, 2024

7:01PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Crop	Applied Per Bounding Box
Crop	Keep 84% Centered on 86%, 9%
Resize	Stretch to 720x720
Brightness	-9%
Noise	0.17%

Annotation History

Loading...

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Skirt_Yellow": 34,
        "Shorts_Yellow": 42,
        "Shirt_Blue": 59,
        "T-shirt_White": 240,
        "Shorts_Black": 55,
        "Trousers_Red": 48,
        "Trousers_White": 545,
        "Trousers_Yellow": 46,
        "Umbrella": 37,
        "Coat_Green": 96,
        "Shirt_Black": 155,
        "Trousers_Brown": 339,
        "Skirt_White": 44,
        "Trousers_Blue": 503,
        "Coat_Black": 544,
        "Coat_Red": 140,
        "Coat_White": 112,
        "Skirt_Green": 28,
        "Coat_Yellow": 49,
        "Shirt_Yellow": 15,
        "Trousers_Green": 58,
        "Cap": 895,
        "Glasses": 173,
        "Shirt_Red": 44,
        "T-shirt_Black": 53,
        "Shorts_Green": 32,
        "Skirt_Brown": 25,
        "Shorts_White": 43,
        "T-shirt_Blue": 108,
        "Female_Pedestrian": 1040,
        "T-shirt_Green": 49,
        "Shorts_Brown": 28,
        "Shirt_Green": 56,
        "Shirt_White": 112,
        "Skirt_Blue": 30,
        "T-shirt_Red": 157,
        "Skirt_Black": 49,
        "T-shirt_Yellow": 108,
        "Bag": 597,
        "Coat_Brown": 197,
        "shoes": 3798,
        "Coat_Blue": 143,
        "Backpack": 457,
        "Shorts_Red": 26,
        "Skirt_Red": 58,
        "Boots": 306,
        "Shirt_Brown": 24,
        "Male_Pedestrian": 1150,
        "Shorts_Blue": 26,
        "Trousers_Black": 1359,
        "T-shirt_Brown": 21
    },
    "datasets": [
        "O6Pa79wcuTdeviDhFV1h"
    ],
    "destination": "8b3bf675a8bdad159af76e7e4c69bbca",
    "height": 720,
    "id": "C0vWMC7NG2jfkN4Qwhbq",
    "label": [],
    "labels": [],
    "name": "FudanPed00004.png",
    "numSteps": 6,
    "owner": "DVj3pOQF6IZEi0TL3dtKZgcx9313",
    "preprocessing": [
        "auto-orient",
        "crop:[[95,0.740456,0.946478],[99,0.436176,0.774023],[98,0.259367,0.298405],[96,0.47733,0.579488],[99,0.240681,0.116581],[98,0.917434,0.477351],[95,0.824308,0.438897],[98,0.548442,0.325154],[99,0.148265,0.800971],[96,0.452566,0.879908],[96,0.456227,0.053516],[95,0.87936,0.941353],[98,0.579363,0.538711],[96,0.186549,0.251405],[97,0.760791,0.472652],[99,0.684867,0.839808]]",
        "crop:[84,0.858504,0.08598]",
        "resize:[\"Stretch to\",720,720]",
        "brightness:[-9]",
        "noise:[0.17,348627]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Crop",
            "value": "Keep 84%<br />Centered on 86%, 9%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 720x720"
        },
        {
            "name": "Brightness",
            "value": "-9%"
        },
        {
            "name": "Noise",
            "value": "0.17%"
        }
    ],
    "source": "C0vWMC7NG2jfkN4Qwhbq",
    "split": "train",
    "split.O6Pa79wcuTdeviDhFV1h.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[[95,0.740456,0.946478],[99,0.436176,0.774023],[98,0.259367,0.298405],[96,0.47733,0.579488],[99,0.240681,0.116581],[98,0.917434,0.477351],[95,0.824308,0.438897],[98,0.548442,0.325154],[99,0.148265,0.800971],[96,0.452566,0.879908],[96,0.456227,0.053516],[95,0.87936,0.941353],[98,0.579363,0.538711],[96,0.186549,0.251405],[97,0.760791,0.472652],[99,0.684867,0.839808]]\",\n    \"crop:[84,0.858504,0.08598]\",\n    \"resize:[\\\"Stretch to\\\",720,720]\",\n    \"brightness:[-9]\",\n    \"noise:[0.17,348627]\"\n]",
    "updated": {
        "_seconds": 1715540486,
        "_nanoseconds": 681000000
    },
    "updatedDate": "May 12, 2024",
    "updatedTime": "7:01PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "O6Pa79wcuTdeviDhFV1h/2"
    ],
    "width": 720
}

{
    "boxes": [
        {
            "label": "Trousers_Blue",
            "x": 444.5,
            "y": 517,
            "width": 296.5,
            "height": 298.5
        },
        {
            "label": "Female_Pedestrian",
            "x": 435.5,
            "y": 389,
            "width": 330,
            "height": 567
        },
        {
            "label": "T-shirt_White",
            "x": 429.5,
            "y": 301.5,
            "width": 127.5,
            "height": 205
        },
        {
            "label": "Bag",
            "x": 37,
            "y": 284.5,
            "width": 34,
            "height": 51.5
        },
        {
            "label": "Shirt_White",
            "x": 19,
            "y": 173,
            "width": 38,
            "height": 71.5
        },
        {
            "label": "shoes",
            "x": 26,
            "y": 337,
            "width": 32,
            "height": 30
        },
        {
            "label": "shoes",
            "x": 381,
            "y": 607.5,
            "width": 34,
            "height": 18
        },
        {
            "label": "shoes",
            "x": 317,
            "y": 652.5,
            "width": 85.5,
            "height": 28
        },
        {
            "label": "shoes",
            "x": 583,
            "y": 581,
            "width": 36,
            "height": 40
        },
        {
            "label": "shoes",
            "x": 551,
            "y": 636.5,
            "width": 71.5,
            "height": 55.5
        },
        {
            "label": "shoes",
            "x": 5,
            "y": 355,
            "width": 10,
            "height": 14
        },
        {
            "label": "Trousers_Black",
            "x": 21,
            "y": 275.5,
            "width": 42,
            "height": 149
        },
        {
            "label": "Male_Pedestrian",
            "x": 23,
            "y": 230.5,
            "width": 45.5,
            "height": 250.5
        },
        {
            "label": "Bag",
            "x": 439.5,
            "y": 345,
            "width": 129.5,
            "height": 107.5
        }
    ],
    "height": 720,
    "key": "FudanPed00004.png",
    "width": 720
}

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