Dataset Versions

v1

2023-02-26 7:43pm

Generated on Feb 26, 2023

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Dataset Split

Train Set 70%
5396Images
Valid Set 20%
1530Images
Test Set 10%
812Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 1
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 10px
Mosaic: Applied
garbage classify
Annotate
img_v2_4354.jpg
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test
Labels
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Ground Truth Boxes
 
-
1

Since this image is a processed & augmented version of the original image, you can't modify annotations here.

Attributes

img_v2_4354.jpg

65x84
0.01MP

Updated Feb 26, 2023

11:43AM
GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient Applied
Static Crop X: 77.083333% to 85.416667%
Y: 0.781250% to 8.984375%
Select annotation #12
Auto-Adjust Contrast Adaptive Equalization

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "污损塑料": 554,
        "包": 352,
        "锅": 312,
        "食用油桶": 15,
        "书籍纸张": 91,
        "牙签": 3,
        "鞋": 99,
        "饮料盒": 80,
        "干电池": 65,
        "烟蒂": 140,
        "毛巾": 92,
        "菜帮菜叶": 137,
        "洗护用品": 411,
        "软膏": 16,
        "塑料器皿": 154,
        "金属厨具": 71,
        "一次性快餐盒": 132,
        "茶叶渣": 1,
        "金属食品罐": 5,
        "蛋壳": 106,
        "塑料厨具": 27,
        "调料瓶": 170,
        "快递纸袋": 1,
        "果皮果肉": 422,
        "纸袋": 271,
        "玻璃器皿": 345,
        "花盆": 15,
        "塑料玩具": 10,
        "饮料瓶": 231,
        "垃圾桶": 28,
        "塑料衣架": 56,
        "污损用纸": 65,
        "金属器皿": 94,
        "插头电线": 511,
        "易拉罐": 328,
        "充电宝": 220,
        "枕头": 308,
        "毛绒玩具": 25,
        "砧板": 5,
        "筷子": 88,
        "酒瓶": 36,
        "剩饭剩菜": 231,
        "纸盒纸箱": 203,
        "过期药物": 388,
        "旧衣服": 263,
        "陶瓷器皿": 561
    },
    "datasets": [
        "WUBMYcmgeNkeONphDeoc"
    ],
    "destination": "20f43561e6caffd5fe55b09d86a64770",
    "height": 84,
    "id": "R5hi8Ztj7cXmKinQWsi9",
    "label": [],
    "labels": [],
    "name": "img_v2_4354.jpg",
    "numSteps": 4,
    "owner": "PQPUkpMAZEMU3AX58Wit37mljg83",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "-",
            "x": 32.5,
            "y": 20.500032,
            "width": 65,
            "height": 40.99998
        }
    ],
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"77.083333\",\"85.416667\",\"0.781250\",\"8.984375\"]",
        "select-annotation:[11]",
        "auto-contrast:[\"Adaptive Equalization\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 77.083333% to 85.416667%<br/>Y: 0.781250% to 8.984375%"
        },
        {
            "value": "Select annotation #12"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        }
    ],
    "source": "R5hi8Ztj7cXmKinQWsi9",
    "split": "test",
    "split.WUBMYcmgeNkeONphDeoc.1": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"77.083333\\\",\\\"85.416667\\\",\\\"0.781250\\\",\\\"8.984375\\\"]\",\n    \"select-annotation:[11]\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\"\n]",
    "updated": {
        "_seconds": 1677411839,
        "_nanoseconds": 927000000
    },
    "updatedDate": "Feb 26, 2023",
    "updatedTime": "11:43AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "WUBMYcmgeNkeONphDeoc/1"
    ],
    "width": 65
}
{
    "boxes": [
        {
            "label": "-",
            "x": 33,
            "y": 42,
            "width": 64,
            "height": 84
        }
    ],
    "height": 84,
    "key": "img_v2_4354.jpg",
    "width": 65
}

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