Dataset Versions

2024-07-02 9:50am

Generated on Jul 2, 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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124 Total Images

View All Images

Dataset Split

Train Set 70%

87Images

Valid Set 20%

25Images

Test Set 10%

12Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group: Cua

tom nuong

Unused Classes

Chả giò

Cua

Khoai tây chiên

bia

bánh khọt

bánh xèo

bò xào

bún mắm

bắp

bắp xào

bột lọc

canh

chuối nướng

cháo

chân gà

chả

cá

cá nướng

cút lộn xào me

cơm

cơm chiên

cải chua

dồi

ghẹ

gà

gỏi

huyết canh

hàu

lòng xào

lẩu thái

mắm

mực

mỳ

nghêu

nhộng

nấm

nấm xào

rau

rau xào

sò

sò điệp

thịt

thịt đông

tôm

tôm nướng

tôm tít

Đậu hủ

đậu phộng

đồ chua

ếch

ốc

ốc bưu

Attributes

th-50-.jpg

640x640

0.41MP

Updated Jun 18, 56472

1:10AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "BpHWybjG5TQi143Zksfm"
    ],
    "destination": "e7233b0089fce68ae21cb80e297573e3",
    "height": 640,
    "id": "nhapZqIrEjDEyOZeAb9k",
    "label": [],
    "labels": [],
    "name": "th-50-.jpg",
    "numSteps": 2,
    "owner": "W1kM4OOrkkba8KiUzvAHVbAOn812",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "nhapZqIrEjDEyOZeAb9k",
    "split": "train",
    "split.BpHWybjG5TQi143Zksfm.1": "train",
    "split.BpHWybjG5TQi143Zksfm.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1719931626635,
    "updatedDate": "Jun 18, 56472",
    "updatedTime": "1:10AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "BpHWybjG5TQi143Zksfm/1",
        "BpHWybjG5TQi143Zksfm/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "tom nuong",
            "x": 351.5,
            "y": 305.5,
            "width": 267,
            "height": 462.5
        }
    ],
    "height": 640,
    "key": "th (50).jpg",
    "width": 640
}

Object Detection