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Sampah Kita

Help us solve the trash problem in Indonesia

Earn Bitcoin by teaching the future trash-picker robot.

As Seen On

As Seen On
⚡️ 10 sats sent to l***@huedaya.com for uploading image (1 week ago) ⚡️ 10 sats sent to p***@walletofsatoshi.com for uploading image (1 week ago) ⚡️ 10 sats sent to p***@walletofsatoshi.com for uploading image (1 week ago) ⚡️ 10 sats sent to l***@huedaya.com for uploading image (2 weeks ago) ⚡️ 20 sats sent to l***@huedaya.com for annotating image (2 weeks ago) ⚡️ 10 sats sent to l***@huedaya.com for uploading image (2 weeks ago) ⚡️ 10 sats sent to l***@huedaya.com for uploading image (1 week ago) ⚡️ 10 sats sent to p***@walletofsatoshi.com for uploading image (1 week ago) ⚡️ 10 sats sent to p***@walletofsatoshi.com for uploading image (1 week ago) ⚡️ 10 sats sent to l***@huedaya.com for uploading image (2 weeks ago) ⚡️ 20 sats sent to l***@huedaya.com for annotating image (2 weeks ago) ⚡️ 10 sats sent to l***@huedaya.com for uploading image (2 weeks ago)

What is Sampah Kita?

In simple terms, a platform connecting donors and volunteers.
With the goal of building trash image datasets.

1Donors support us with Bitcoin donations. 2We offer micro-jobs to volunteers who complete tasks for Bitcoin rewards. Jobs include uploading trash images or annotating existing images. 3Once we collect thousands of images, researchers can use the datasets for free research or robot training.

Thanks to Bitcoin's permissionless nature, anyone with internet access can join and receive rewards without needing a bank account. The shorter process makes the task seamless and less daunting.

Dataset Image 1
Dataset Image 2
Dataset Image 3
Dataset Image 4
Dataset Image 5

Dataset-1

Coming Soon

Open and free localized trash image datasets specific for litter in Indonesia. Manually labelled by human volunteers, annotations will be provided in COCO format, here the sample annotation:

Sample 20250831_132424_096967dc.json
{
    "images": [
        {
            "id": 1,
            "width": 2500,
            "height": 2500,
            "file_name": "20250831_132424_096967dc.jpg",
            "date_captured": "2025-08-31 13:24:24"
        }
    ],
    "annotations": [
        {
            "id": 1,
            "image_id": 1,
            "category_id": 5001,
            "segmentation": [
                [
                    1740,
                    2281,
                    1753,
                    2307,
                    1744,
                    2315,
                    1631,
                    2365,
                    1621,
                    2331,
                    1688,
                    2298
                ]
            ],
            "bbox": [
                1621,
                2281,
                132,
                84
            ],
            "area": 4751.5,
            "iscrowd": 0
        },
        {
            "id": 2,
            "image_id": 1,
            "category_id": 5001,
            "segmentation": [
                [
                    1720,
                    2204,
                    1728,
                    2172,
                    1733,
                    2100,
                    1744,
                    2039,
                    1722,
                    2031,
                    1706,
                    2032,
                    1689,
                    2168,
                    1687,
                    2198
                ]
            ],
            "bbox": [
                1687,
                2031,
                57,
                173
            ],
            "area": 6241.5,
            "iscrowd": 0
        },
        {
            "id": 3,
            "image_id": 1,
            "category_id": 2005,
            "segmentation": [
                [
                    1509,
                    2096,
                    1423,
                    1910,
                    1307,
                    1692,
                    1122,
                    1782,
                    1167,
                    1873,
                    1235,
                    2018,
                    1321,
                    2198
                ]
            ],
            "bbox": [
                1122,
                1692,
                387,
                506
            ],
            "area": 96936.5,
            "iscrowd": 0
        },
        {
            "id": 4,
            "image_id": 1,
            "category_id": 5001,
            "segmentation": [
                [
                    1033,
                    519,
                    1048,
                    549,
                    1127,
                    503,
                    1109,
                    473
                ]
            ],
            "bbox": [
                1033,
                473,
                94,
                76
            ],
            "area": 3084,
            "iscrowd": 0
        },
        {
            "id": 5,
            "image_id": 1,
            "category_id": 2005,
            "segmentation": [
                [
                    1882,
                    1019,
                    1908,
                    975,
                    1880,
                    957,
                    1858,
                    945,
                    1834,
                    993
                ]
            ],
            "bbox": [
                1834,
                945,
                74,
                74
            ],
            "area": 2984,
            "iscrowd": 0
        },
        {
            "id": 6,
            "image_id": 1,
            "category_id": 1004,
            "segmentation": [
                [
                    1157,
                    630,
                    1200,
                    640,
                    1235,
                    652,
                    1276,
                    651,
                    1310,
                    656,
                    1340,
                    669,
                    1363,
                    666,
                    1393,
                    666,
                    1411,
                    678,
                    1464,
                    680,
                    1513,
                    692,
                    1561,
                    693,
                    1545,
                    752,
                    1547,
                    810,
                    1547,
                    870,
                    1547,
                    922,
                    1541,
                    961,
                    1539,
                    1005,
                    1532,
                    1056,
                    1525,
                    1107,
                    1525,
                    1151,
                    1519,
                    1188,
                    1502,
                    1239,
                    1495,
                    1267,
                    1484,
                    1312,
                    1402,
                    1285,
                    1360,
                    1279,
                    1286,
                    1263,
                    1236,
                    1254,
                    1183,
                    1233,
                    1138,
                    1224,
                    1082,
                    1209,
                    1047,
                    1192,
                    1023,
                    1189,
                    1005,
                    1188,
                    1022,
                    1122,
                    1041,
                    1043,
                    1055,
                    984,
                    1060,
                    946,
                    1073,
                    895,
                    1088,
                    849,
                    1106,
                    792,
                    1114,
                    753,
                    1123,
                    723,
                    1129,
                    703,
                    1134,
                    680,
                    1148,
                    658
                ]
            ],
            "bbox": [
                1005,
                630,
                556,
                682
            ],
            "area": 277852,
            "iscrowd": 0
        }
    ],
    "categories": [
        {
            "id": 1004,
            "name": "wrappers",
            "supercategory": "plastic"
        },
        {
            "id": 2005,
            "name": "other-paper",
            "supercategory": "paper"
        },
        {
            "id": 5001,
            "name": "cigarette-butt",
            "supercategory": "hazardous"
        }
    ]
}

How to contribute?

You can start now, only took 5 minutes.

📸

Upload Trash Photo

Help us build localized dataset by uploading photos of trash in Indonesia

Earn 0.00000010 BTC/image
Start Uploading
✂️

Annotate Photo

Help prepare dataset for AI Robots by precisely annotating trash objects in photos

Earn 0.00000020 BTC/image
Start Annotating
🙏

Donate

Support our mission financially, your funds distributed directly to the voluneer

Every donation matters
Donate Now

Sampah Kita 2026 Goal

Release of Sampah Kita Dataset-1 (Containing annotated 5,000 trash image)
Images Annotated: 1 (0%)
Images Collected: 5 (0%)
0% 100%

2

Volunteer

0.00005783 BTC

Available Reward

Ready to make a difference?

Join us to solve Indonesia's trash problem while earning Bitcoin rewards.