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Hard-soft object Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-03-19 9:15pm

Generated on Mar 19, 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.

Other Formats

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13 Total Images

View All Images

Dataset Split

Train Set 92%

12Images

Valid Set 8%

1Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Dynamic Crop: Class: hard

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Rotation: Between -6° and +6°

Shear: ±8° Horizontal, ±4° Vertical

Saturation: Between -14% and +14%

Blur: Up to 0.7px

Noise: Up to 1.45% of pixels

Bounding Box: Flip: Horizontal, Vertical

Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Bounding Box: Rotation: Between -18° and +18°

Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

Bounding Box: Brightness: Between -25% and +25%

Bounding Box: Noise: Up to 0.86% of pixels

Similar Projects

Annotations

Group:

hard-soft-neutral

yt-NAmVU3eQ8Hs-0000.jpg

640x640

0.41MP

Updated Aug 9, 56185

11:25PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 0.000000% to 100.000000%
Y: 0.347222% to 99.652778%

Resize

Stretch to 640x640

Auto-Adjust Contrast

Adaptive Equalization

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "AyBmH7RG4eM0mRXilFOK"
    ],
    "destination": "97b468970a36ec55e5062741cae3b488",
    "height": 640,
    "id": "IWkaR17tLf1JF9qV2EcX",
    "label": [],
    "labels": [],
    "name": "yt-NAmVU3eQ8Hs-0000.jpg",
    "numSteps": 4,
    "owner": "x5scxbHapwVlEEnffI44UuORNT22",
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"0.000000\",\"100.000000\",\"0.347222\",\"99.652778\"]",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Adaptive Equalization\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 0.000000% to 100.000000%<br/>Y: 0.347222% to 99.652778%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        }
    ],
    "source": "IWkaR17tLf1JF9qV2EcX",
    "split": "train",
    "split.AyBmH7RG4eM0mRXilFOK.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"0.000000\\\",\\\"100.000000\\\",\\\"0.347222\\\",\\\"99.652778\\\"]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\"\n]",
    "updated": 1710879319538,
    "updatedDate": "Aug 9, 56185",
    "updatedTime": "11:25PM",
    "updatedTimezone": "+00:00",
    "user_tags": [
        "youtube:S-u6ENAL6sw",
        "youtube:NAmVU3eQ8Hs"
    ],
    "versions": [
        "AyBmH7RG4eM0mRXilFOK/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "hard",
            "x": 320,
            "y": 320.074592,
            "width": 640,
            "height": 639.850816,
            "points": [
                [
                    640,
                    1.268065
                ],
                [
                    639.375,
                    0.149184
                ],
                [
                    0.625,
                    0.149184
                ],
                [
                    0,
                    1.268065
                ],
                [
                    0,
                    639.030303
                ],
                [
                    0.541667,
                    640
                ],
                [
                    639.458333,
                    640
                ],
                [
                    640,
                    639.030303
                ],
                [
                    640,
                    1.268065
                ]
            ]
        }
    ],
    "height": 640,
    "key": "yt-NAmVU3eQ8Hs-0000.jpg",
    "width": 640
}

Hard-soft object Detection

Dataset Versions

2024-03-19 9:15pm

Popular Download Formats

13 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

yt-NAmVU3eQ8Hs-0000.jpg

Updated Aug 9, 56185

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data