thermal dogs and people

Object Detection

Dataset Versions

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v2

release

Generated on Aug 30, 2022

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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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203 Total Images

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Dataset Split

Train Set 70%

142Images

Valid Set 20%

41Images

Test Set 10%

20Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

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thermal dogs and people

Annotate

IMG_0043-2.jpg

7 / 12

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test

Labels

Attributes

Raw Data

Annotations

Group:

thermal-dogs-n-people

CLASSES

LAYERS

person

3

Unused Classes

dog

Tags

No Tags Applied

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

Attributes

IMG_0043-2.jpg

416x416

0.17MP

Updated Aug 30, 2022

10:16AM

GMT+00:00

Generated by Roboflow

Testing Set

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "person": 140,
        "dog": 117
    },
    "datasets": [
        "OMZoooFJrbl9mtLwsTGw"
    ],
    "destination": "d92470706f97bf841e290bbcdaa104c7",
    "height": 416,
    "id": "wdfgy6xHGnypVWadJm6u",
    "label": [],
    "labels": [],
    "name": "IMG_0043-2.jpg",
    "numSteps": 0,
    "owner": "pwYAXv9BTpqLyFfgQoPZ",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "wdfgy6xHGnypVWadJm6u",
    "split": "test",
    "split.OMZoooFJrbl9mtLwsTGw.2": "test",
    "status": "generated",
    "transforms": "[]",
    "updated": {
        "_seconds": 1661854567,
        "_nanoseconds": 2000000
    },
    "updatedDate": "Aug 30, 2022",
    "updatedTime": "10:16AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "OMZoooFJrbl9mtLwsTGw/2"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "person",
            "x": 314.25,
            "y": 176,
            "width": 50.5,
            "height": 122
        },
        {
            "label": "person",
            "x": 260,
            "y": 180,
            "width": 56,
            "height": 124
        },
        {
            "label": "person",
            "x": 205.5,
            "y": 175.5,
            "width": 79,
            "height": 129
        }
    ],
    "height": 416,
    "key": "IMG_0043 2_jpg.rf.c1e7848d52119882bc38460c8de32a05.jpg",
    "width": 416
}

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