Dataset Versions

Try Pre-Trained Model
Versions
2023-07-22 2:07pm
v9
·
2 years ago
2023-07-22 10:47am
v8
·
2 years ago
2023-06-24 9:25pm
v7
·
2 years ago
2023-06-24 9:06pm
v6
·
2 years ago
2023-04-20 11:38pm
v5
·
2 years ago
2023-04-20 11:02pm
v4
·
2 years ago
2023-04-20 10:54pm
v3
·
2 years ago
2023-03-20 3:50pm
v2
·
2 years ago
2023-02-26 8:37pm
v1
·
2 years ago
v7

2023-06-24 9:25pm

Generated on Jun 24, 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.

478 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 50%
237Images
Valid Set 5%
24Images
Test Set 45%
217Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -11% and +11%
Brightness: Between -9% and +9%
Exposure: Between -14% and +14%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Similar Projects

See More
Capstone chips detection
Annotate
1 / 13
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
Chips

Classes

Layers

 
Average chips
3
 
Bad chips
5
 
Good chips
2

Unused Classes

1
2
3
bad Chocolate
good Chocolate

Tags

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

Attributes

IMG20230225160210_augmented.jpg

640x640
0.41MP

Updated Aug 13, 55448

3:53PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Flip Applied Per Bounding Box
90° Rotate Applied Per Bounding Box
Flip Horizontal
90° Rotate Applied
Saturation -9%
Brightness 6%
Exposure 7%

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "xNUIurM7L95zgDaDYVsm"
    ],
    "destination": "2af144a1a3f020ab701ef2b69c2411b0",
    "height": 640,
    "id": "PQM1zV2ja0ljGXe7Xxfb",
    "label": [],
    "labels": [],
    "name": "IMG20230225160210_augmented.jpg",
    "numSteps": 9,
    "owner": "er5VM4GD1nYlKa2Fzwwr0UBxYty1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[\"vertical\"],[],[],[],[],[\"vertical\"],[\"horizontal\"],[\"both\"],[\"horizontal\"],[\"both\"]]",
        "ninety:[[90],[-90],[180],[-90],[90],[180],[180],[0],[180],[90]]",
        "flip:[\"horizontal\"]",
        "ninety:[180]",
        "saturation:[-9]",
        "brightness:[6]",
        "exposure:[7]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "-9%"
        },
        {
            "name": "Brightness",
            "value": "6%"
        },
        {
            "name": "Exposure",
            "value": "7%"
        }
    ],
    "source": "PQM1zV2ja0ljGXe7Xxfb",
    "split": "train",
    "split.xNUIurM7L95zgDaDYVsm.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[\\\"vertical\\\"],[],[],[],[],[\\\"vertical\\\"],[\\\"horizontal\\\"],[\\\"both\\\"],[\\\"horizontal\\\"],[\\\"both\\\"]]\",\n    \"ninety:[[90],[-90],[180],[-90],[90],[180],[180],[0],[180],[90]]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"ninety:[180]\",\n    \"saturation:[-9]\",\n    \"brightness:[6]\",\n    \"exposure:[7]\"\n]",
    "updated": 1687622140429,
    "updatedDate": "Aug 13, 55448",
    "updatedTime": "3:53PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "xNUIurM7L95zgDaDYVsm/7"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Bad chips",
            "x": 163.5,
            "y": 537.5,
            "width": 164,
            "height": 164
        },
        {
            "label": "Bad chips",
            "x": 114.5,
            "y": 275.5,
            "width": 186,
            "height": 187
        },
        {
            "label": "Bad chips",
            "x": 245.5,
            "y": 172.5,
            "width": 89,
            "height": 130
        },
        {
            "label": "Bad chips",
            "x": 529,
            "y": 220.5,
            "width": 130,
            "height": 131
        },
        {
            "label": "Bad chips",
            "x": 496.5,
            "y": 539,
            "width": 142,
            "height": 141
        },
        {
            "label": "Average chips",
            "x": 326,
            "y": 531,
            "width": 156,
            "height": 194
        },
        {
            "label": "Average chips",
            "x": 255,
            "y": 352,
            "width": 112,
            "height": 146
        },
        {
            "label": "Good chips",
            "x": 381,
            "y": 356.5,
            "width": 118,
            "height": 149
        },
        {
            "label": "Good chips",
            "x": 529.5,
            "y": 371.5,
            "width": 167,
            "height": 141
        },
        {
            "label": "Average chips",
            "x": 379.5,
            "y": 128.5,
            "width": 177,
            "height": 176
        }
    ],
    "height": 640,
    "key": "IMG20230225160210_augmented.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