Dataset Versions

2024-10-05 9:45am

2024-10-05 9:32am

2024-10-05 9:32am

v3

2024-10-05 9:45am

Generated on Oct 5, 2024

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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.

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8941 Total Images

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Dataset Split

Train Set 100%

8941Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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BigCat_Detect

Annotate

8 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

Animals

CLASSES

LAYERS

Lion

1

Unused Classes

Background

Bear

Bicycle

Bird

Cattle

Cheetah

Deer

Dog

Elephant

Fox

Goat

Horse

Jaguar

Leopard

Monkey

Motorcycle

Person

Rhino

Skyfish

Solar Panel

Tiger

Wild-Boar

Tags

No Tags Applied

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

Attributes

Lion_Download_train_489.jpg

960x540

0.52MP

Updated Oct 5, 2024

9:45AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Rhino": 526,
        "Solar Panel": 145,
        "Motorcycle": 214,
        "Background": 1280,
        "Bird": 592,
        "Monkey": 755,
        "Bear": 453,
        "Bicycle": 193,
        "Skyfish": 68,
        "Cheetah": 417,
        "Deer": 1152,
        "Fox": 283,
        "Tiger": 1596,
        "Cattle": 1451,
        "Elephant": 1104,
        "Horse": 334,
        "Jaguar": 605,
        "Lion": 372,
        "Goat": 589,
        "Leopard": 404,
        "Dog": 969,
        "Person": 3109
    },
    "datasets": [
        "zLnNWs5NgkGnTLFU9a7s"
    ],
    "destination": "6f9a5c1055e0adc35fb3827f56953039",
    "height": 540,
    "id": "tTp7fcG7LB4nny9kdAtE",
    "label": [],
    "labels": [],
    "name": "Lion_Download_train_489.jpg",
    "numSteps": 1,
    "owner": "mJz6Cwl3PAoZ21Vss8oc",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "tTp7fcG7LB4nny9kdAtE",
    "split": "train",
    "split.zLnNWs5NgkGnTLFU9a7s.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": {
        "_seconds": 1728121521,
        "_nanoseconds": 710000000
    },
    "updatedDate": "Oct 5, 2024",
    "updatedTime": "9:45AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "zLnNWs5NgkGnTLFU9a7s/3"
    ],
    "width": 960
}

{
    "boxes": [
        {
            "label": "Lion",
            "x": 498.5,
            "y": 269.5,
            "width": 919,
            "height": 539
        }
    ],
    "height": 540,
    "key": "Lion_Download_train_489_jpg.rf.b1ced887a7453187f7f9eb0617c5faed.jpg",
    "width": 960
}

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