Dataset Versions

Try Pre-Trained Model
Versions
2023-12-04 4:07am
v17
·
a year ago
2023-12-02 5:04am
v16
·
a year ago
2023-08-11 3:43pm
v15
·
2 years ago
2023-08-11 3:43pm
v14
·
2 years ago
2023-08-11 3:43pm
v13
·
2 years ago
2023-08-11 3:43pm
v12
·
2 years ago
2023-08-11 3:43pm
v11
·
2 years ago
2023-08-11 3:43pm
v10
·
2 years ago
2023-08-11 3:37pm
v9
·
2 years ago
2023-08-11 3:35pm
v8
·
2 years ago
2023-08-10 2:51pm
v7
·
2 years ago
2023-08-10 2:47pm
v6
·
2 years ago
2023-08-10 2:37pm
v5
·
2 years ago
2023-08-09 9:44am
v4
·
2 years ago
2023-08-09 9:33am
v3
·
2 years ago
2023-08-06 7:27pm
v2
·
2 years ago
2023-08-06 3:52pm
v1
·
2 years ago
v3

2023-08-09 9:33am

Generated on Aug 9, 2023
Download

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

5275 Total Images

View All Images
Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image

Dataset Split

Train Set 89%
4688Images
Valid Set 11%
587Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Vertical
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -15% and +15%

Similar Projects

See More
Palm oil plantation annotation
Annotate
1 / 13
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
Palm-oil

Classes

Layers

 
Good Fruit
8

Unused Classes

1
2
Bad Fruit
Palm Tree

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

IMG_0440.JPG

640x640
0.41MP

Updated Dec 2, 55572

5:43PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Brightness Applied Per Bounding Box
Exposure Applied Per Bounding Box
Noise 5%

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "LYyfdGyjoG9SNCD4HshU"
    ],
    "destination": "61624d76df9c4265aff578b08b1a6e9d",
    "height": 640,
    "id": "kPaoStrW9923qyBLh44h",
    "label": [],
    "labels": [],
    "name": "IMG_0440.JPG",
    "numSteps": 5,
    "owner": "WkcSOXjc5HVJBQNfQ0qtoUjgEbn1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "brightness:[[9],[-11],[-5],[-12],[-11],[-13],[-8],[0]]",
        "exposure:[[-5],[-11],[6],[-5],[2],[13],[13],[-5]]",
        "noise:[5,323136]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Brightness",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Noise",
            "value": "5%"
        }
    ],
    "source": "kPaoStrW9923qyBLh44h",
    "split": "train",
    "split.LYyfdGyjoG9SNCD4HshU.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"brightness:[[9],[-11],[-5],[-12],[-11],[-13],[-8],[0]]\",\n    \"exposure:[[-5],[-11],[6],[-5],[2],[13],[13],[-5]]\",\n    \"noise:[5,323136]\"\n]",
    "updated": 1691544793407,
    "updatedDate": "Dec 2, 55572",
    "updatedTime": "5:43PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "LYyfdGyjoG9SNCD4HshU/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Good Fruit",
            "x": 257.5,
            "y": 308.5,
            "width": 15.125,
            "height": 10
        },
        {
            "label": "Good Fruit",
            "x": 277.5,
            "y": 359.5,
            "width": 11,
            "height": 11.125
        },
        {
            "label": "Good Fruit",
            "x": 308.5,
            "y": 375.5,
            "width": 11.125,
            "height": 7.125
        },
        {
            "label": "Good Fruit",
            "x": 303.5,
            "y": 387.5,
            "width": 16.875,
            "height": 10
        },
        {
            "label": "Good Fruit",
            "x": 288.5,
            "y": 393.5,
            "width": 17,
            "height": 13.125
        },
        {
            "label": "Good Fruit",
            "x": 289,
            "y": 411,
            "width": 15.875,
            "height": 12
        },
        {
            "label": "Good Fruit",
            "x": 223.5,
            "y": 403.5,
            "width": 15,
            "height": 5
        },
        {
            "label": "Good Fruit",
            "x": 321,
            "y": 464,
            "width": 13.75,
            "height": 12.125
        }
    ],
    "height": 640,
    "key": "IMG_0440.JPG",
    "width": 640
}

Annotation Editor

Delete
Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.
Undo
Redo
Simplify
Simple Complex
Delete
Finish (Enter)
180%
Reset