Edit Project

blueberry detection - GT

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-05-10 10:21am

Generated on May 10, 2024

Download Dataset

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.

Other Formats

Choose another format.

198 Total Images

View All Images

Dataset Split

Train Set 100%

198Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal

Saturation: Between -50% and +50%

Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

blueberry

IMG_9341.jpg

2048x1365

2.80MP

Updated Mar 13, 56327

1:20AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize

Fit within 2048x2048

Auto-Orient

Applied

Saturation

28%

Noise

2.79%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "AqP8sjVLKAoMmexPSLzM"
    ],
    "destination": "a848e9700c78493c04585feae10c8ec9",
    "height": 1365,
    "id": "OB7i2ESAFV3FI6MXxeGY",
    "label": [],
    "labels": [],
    "name": "IMG_9341.jpg",
    "numSteps": 4,
    "owner": "W7o2nHdYtVU8auUJ3SEZ",
    "preprocessing": [
        "resize:[\"Fit within\",2048,2048]",
        "auto-orient",
        "saturation:[28]",
        "noise:[2.79,604212]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Fit within 2048x2048"
        },
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "28%"
        },
        {
            "name": "Noise",
            "value": "2.79%"
        }
    ],
    "source": "OB7i2ESAFV3FI6MXxeGY",
    "split": "train",
    "split.AqP8sjVLKAoMmexPSLzM.2": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Fit within\\\",2048,2048]\",\n    \"auto-orient\",\n    \"saturation:[28]\",\n    \"noise:[2.79,604212]\"\n]",
    "updated": 1715347329647,
    "updatedDate": "Mar 13, 56327",
    "updatedTime": "1:20AM",
    "updatedTimezone": "+00:00",
    "user_tags": [],
    "versions": [
        "AqP8sjVLKAoMmexPSLzM/2"
    ],
    "width": 2048
}

Annotation Data

{
    "boxes": [
        {
            "label": "blueberry",
            "x": 1027,
            "y": 601,
            "width": 78,
            "height": 65
        },
        {
            "label": "blueberry",
            "x": 962,
            "y": 615,
            "width": 57,
            "height": 52
        },
        {
            "label": "blueberry",
            "x": 994,
            "y": 665,
            "width": 75,
            "height": 75
        },
        {
            "label": "blueberry",
            "x": 944,
            "y": 678,
            "width": 47,
            "height": 65
        },
        {
            "label": "blueberry",
            "x": 1079,
            "y": 690,
            "width": 80,
            "height": 60
        },
        {
            "label": "blueberry",
            "x": 1150,
            "y": 721,
            "width": 59,
            "height": 67
        },
        {
            "label": "blueberry",
            "x": 1109,
            "y": 741,
            "width": 64,
            "height": 70
        },
        {
            "label": "blueberry",
            "x": 1146,
            "y": 783,
            "width": 47,
            "height": 52
        },
        {
            "label": "blueberry",
            "x": 1087,
            "y": 807,
            "width": 50,
            "height": 68
        },
        {
            "label": "blueberry",
            "x": 1105,
            "y": 987,
            "width": 44,
            "height": 50
        },
        {
            "label": "blueberry",
            "x": 634,
            "y": 807,
            "width": 73,
            "height": 64
        },
        {
            "label": "blueberry",
            "x": 706,
            "y": 864,
            "width": 75,
            "height": 80
        },
        {
            "label": "blueberry",
            "x": 620,
            "y": 869,
            "width": 72,
            "height": 70
        },
        {
            "label": "blueberry",
            "x": 673,
            "y": 928,
            "width": 75,
            "height": 80
        },
        {
            "label": "blueberry",
            "x": 50,
            "y": 1185,
            "width": 57,
            "height": 59
        },
        {
            "label": "blueberry",
            "x": 92,
            "y": 1290,
            "width": 59,
            "height": 68
        },
        {
            "label": "blueberry",
            "x": 44,
            "y": 1309,
            "width": 45,
            "height": 60
        },
        {
            "label": "blueberry",
            "x": 90,
            "y": 1341.5,
            "width": 78,
            "height": 47
        },
        {
            "label": "blueberry",
            "x": 160,
            "y": 1306,
            "width": 77,
            "height": 62
        },
        {
            "label": "blueberry",
            "x": 98,
            "y": 1223,
            "width": 49,
            "height": 44
        },
        {
            "label": "blueberry",
            "x": 817,
            "y": 1108,
            "width": 72,
            "height": 59
        },
        {
            "label": "blueberry",
            "x": 776,
            "y": 1151,
            "width": 59,
            "height": 77
        },
        {
            "label": "blueberry",
            "x": 840,
            "y": 1181,
            "width": 72,
            "height": 70
        },
        {
            "label": "blueberry",
            "x": 990,
            "y": 1051,
            "width": 50,
            "height": 60
        },
        {
            "label": "blueberry",
            "x": 1554,
            "y": 1067,
            "width": 68,
            "height": 73
        }
    ],
    "height": 1365,
    "key": "IMG_9341.jpg",
    "width": 2048
}

blueberry detection - GT

Dataset Versions

2024-05-10 10:21am

Popular Download Formats

198 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

IMG_9341.jpg

Updated Mar 13, 56327

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data