Dataset Versions

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Versions
2024-08-24 9:42am
v39
·
7 months ago
90-5-5
v38
·
7 months ago
2024-08-22 6:52am
v37
·
7 months ago
2023-11-01 7:22pm
v36
·
a year ago
2023-10-11 8:20pm
v35
·
a year ago
2023-10-07 9:51am
v34
·
a year ago
2023-10-05 7:04pm
v33
·
a year ago
2023-10-03 9:36am
v32
·
a year ago
2023-10-03 9:35am
v31
·
a year ago
Sehat 1000 Bercak 1000 Karat 1000
v30
·
2 years ago
2023-05-30 10:48am
v29
·
2 years ago
2023-05-29 4:44pm
v28
·
2 years ago
2023-05-29 4:22pm
v27
·
2 years ago
2023-05-29 4:06pm
v26
·
2 years ago
2023-05-29 3:51pm
v25
·
2 years ago
2023-05-29 3:13pm
v24
·
2 years ago
2023-05-29 2:27pm
v23
·
2 years ago
2023-05-29 2:07pm
v22
·
2 years ago
2023-05-29 1:06pm
v21
·
2 years ago
Sehat 1000 Bercak 1000
v20
·
2 years ago
2023-05-27 6:43pm
v19
·
2 years ago
2023-05-27 6:21pm
v18
·
2 years ago
2023-05-27 6:00pm
v17
·
2 years ago
2023-05-27 5:11pm
v16
·
2 years ago
2023-05-27 4:51pm
v15
·
2 years ago
2023-05-27 3:59pm
v14
·
2 years ago
2023-05-27 3:40pm
v13
·
2 years ago
2023-05-27 3:05pm
v12
·
2 years ago
2023-05-27 2:41pm
v11
·
2 years ago
Sehat 1000
v10
·
2 years ago
2023-05-27 1:36am
v9
·
2 years ago
2023-05-27 1:18am
v8
·
2 years ago
2023-05-27 1:00am
v7
·
2 years ago
2023-05-27 12:42am
v6
·
2 years ago
2023-05-27 12:23am
v5
·
2 years ago
2023-05-26 6:49pm
v4
·
2 years ago
2023-05-26 6:03pm
v3
·
2 years ago
2023-05-26 5:33pm
v2
·
2 years ago
2023-05-26 5:15pm
v1
·
2 years ago
v2

2023-05-26 5:33pm

Generated on May 26, 2023
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200 Total Images

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Dataset Split

Train Set 70%
140Images
Valid Set 20%
40Images
Test Set 10%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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Deteksi Penyakit Daun Kopi Robusta
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Attributes
Raw Data

Annotations

Group:
Penyakit-Daun-Tanaman-Kopi-New

CLASSES

LAYERS

 
Daun Sehat
1

Unused Classes

Daun Bercak
Daun Karat

Tags

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Attributes

IMG_2180-576x768.JPG

640x640
0.41MP

Updated Dec 29, 56616

6:15AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Daun Bercak": 1000,
        "Daun Karat": 1000,
        "Daun Sehat": 1003
    },
    "datasets": [
        "LVBPdMrp9n5nEHLl3rTx"
    ],
    "destination": "1fcec68bdd0ca46ecb7092facff72259",
    "height": 640,
    "id": "KVvjm0Oh9VNqtL7EP46m",
    "label": [],
    "labels": [],
    "name": "IMG_2180-576x768.JPG",
    "numSteps": 2,
    "owner": "RbOp5nYGxbVzcfdKeLfj",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
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            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "KVvjm0Oh9VNqtL7EP46m",
    "split": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.1": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.10": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.11": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.12": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.13": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.14": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.15": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.16": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.17": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.18": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.19": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.2": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.20": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.21": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.22": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.23": "train",
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    "split.LVBPdMrp9n5nEHLl3rTx.27": "train",
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    "split.LVBPdMrp9n5nEHLl3rTx.29": "train",
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    "split.LVBPdMrp9n5nEHLl3rTx.30": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.31": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.32": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.33": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.34": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.35": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.36": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.38": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.39": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.4": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.5": "train",
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    "split.LVBPdMrp9n5nEHLl3rTx.8": "train",
    "split.LVBPdMrp9n5nEHLl3rTx.9": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1724492528135,
    "updatedDate": "Dec 29, 56616",
    "updatedTime": "6:15AM",
    "updatedTimezone": "+00:00",
    "user_tags": [],
    "versions": [
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        "LVBPdMrp9n5nEHLl3rTx/10",
        "LVBPdMrp9n5nEHLl3rTx/11",
        "LVBPdMrp9n5nEHLl3rTx/12",
        "LVBPdMrp9n5nEHLl3rTx/13",
        "LVBPdMrp9n5nEHLl3rTx/14",
        "LVBPdMrp9n5nEHLl3rTx/15",
        "LVBPdMrp9n5nEHLl3rTx/16",
        "LVBPdMrp9n5nEHLl3rTx/17",
        "LVBPdMrp9n5nEHLl3rTx/18",
        "LVBPdMrp9n5nEHLl3rTx/19",
        "LVBPdMrp9n5nEHLl3rTx/2",
        "LVBPdMrp9n5nEHLl3rTx/20",
        "LVBPdMrp9n5nEHLl3rTx/21",
        "LVBPdMrp9n5nEHLl3rTx/22",
        "LVBPdMrp9n5nEHLl3rTx/23",
        "LVBPdMrp9n5nEHLl3rTx/24",
        "LVBPdMrp9n5nEHLl3rTx/25",
        "LVBPdMrp9n5nEHLl3rTx/26",
        "LVBPdMrp9n5nEHLl3rTx/27",
        "LVBPdMrp9n5nEHLl3rTx/28",
        "LVBPdMrp9n5nEHLl3rTx/29",
        "LVBPdMrp9n5nEHLl3rTx/3",
        "LVBPdMrp9n5nEHLl3rTx/30",
        "LVBPdMrp9n5nEHLl3rTx/31",
        "LVBPdMrp9n5nEHLl3rTx/32",
        "LVBPdMrp9n5nEHLl3rTx/33",
        "LVBPdMrp9n5nEHLl3rTx/34",
        "LVBPdMrp9n5nEHLl3rTx/35",
        "LVBPdMrp9n5nEHLl3rTx/36",
        "LVBPdMrp9n5nEHLl3rTx/38",
        "LVBPdMrp9n5nEHLl3rTx/39",
        "LVBPdMrp9n5nEHLl3rTx/4",
        "LVBPdMrp9n5nEHLl3rTx/5",
        "LVBPdMrp9n5nEHLl3rTx/6",
        "LVBPdMrp9n5nEHLl3rTx/7",
        "LVBPdMrp9n5nEHLl3rTx/8",
        "LVBPdMrp9n5nEHLl3rTx/9"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "Daun Sehat",
            "x": 333.5,
            "y": 326,
            "width": 471,
            "height": 545
        }
    ],
    "height": 640,
    "key": "IMG_2180-576x768.JPG",
    "width": 640
}

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