Dataset Versions

2022-05-15 4:59am

2022-05-14 10:44pm

v2

2022-05-15 4:59am

Generated on May 15, 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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5574 Total Images

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Dataset Split

Train Set 89%

4978Images

Valid Set 11%

596Images

Test Set %

0Images

Preprocessing

Modify Classes: 0 remapped, 0 dropped

Augmentations

No augmentations were applied.

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Final_data

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5 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

object-detection

CLASSES

LAYERS

Vending_machine

1

Unused Classes

Awning

Basketball_court

Beach_chair

Bench

Bicycle

Boardwalk

Boat

Building

Bush

Chair

Cobblestone

Cycle_track

Electric_scooter

Female_Washroom

Fitness_equipment

Flag

Flower

Garbage_bin

Golf_cart

Grass

Lamp_Post

Lifeguard

Male_Washroom

Palm_Tree

Pedestian_Underpass

Play_area

Rail

Recycling_Center

Sea

Shower

Sign_board

Stairs

Table

Tree

Umbrella

Water_Fountain

d

t-

Tags

No Tags Applied

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

Attributes

Vending-Machine-4_108.jpg

1080x1920

2.07MP

Updated May 15, 2022

4:59AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Modify Classes

Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "datasets": [
        "S1JELVrclVC2VRjxmahe"
    ],
    "destination": "b5b346cc2058288dc69069b707e7f67f",
    "height": 1920,
    "id": "hbcKVpIsuEPZZSayvlYm",
    "label": [],
    "labels": [],
    "name": "Vending-Machine-4_108.jpg",
    "numSteps": 1,
    "owner": "NW9SlrN2LlX9IdLiirru1Ffjxjp2",
    "preprocessing": [
        "remap:[\"410f6dde790bb9603cca4ee5874aecd6\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "hbcKVpIsuEPZZSayvlYm",
    "split": "train",
    "split.S1JELVrclVC2VRjxmahe.1": "train",
    "split.S1JELVrclVC2VRjxmahe.2": "train",
    "status": "generated",
    "transforms": "[\n    \"remap:[\\\"410f6dde790bb9603cca4ee5874aecd6\\\"]\"\n]",
    "updated": {
        "_seconds": 1652590790,
        "_nanoseconds": 219000000
    },
    "updatedDate": "May 15, 2022",
    "updatedTime": "4:59AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "S1JELVrclVC2VRjxmahe/1",
        "S1JELVrclVC2VRjxmahe/2"
    ],
    "width": 1080
}

{
    "boxes": [
        {
            "label": "Vending_machine",
            "x": 407,
            "y": 885.5,
            "width": 804,
            "height": 1509
        }
    ],
    "height": 1920,
    "key": "Vending-Machine-4_108_jpg.rf.e5023b507d024f4929d5e1e40f4651a5.jpg",
    "width": 1080
}

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