Universe

hello Computer Vision Dataset

byprojectTask:
Instance Segmentation
License:CC BY 4.0
See all 1.4k imageshello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481, 3 0.16230102760416668 0.5782839222222222 0.16230102760416668 0.5835518814814815 0.1683659078125 0.5834948685185185 0.16834575885416667 0.5782212083333333 0.16230102760416668 0.5782839222222222hello asdfasdf sample showing 3 0.7416058833333333 0.4388426453703704 0.7457787630208333 0.43882554166666665 0.745718315625 0.43606043333333333 0.7416078984375001 0.43606043333333333 0.7416058833333333 0.4388426453703704, 3 0.7416602859375 0.45574401388888885 0.7437759421875001 0.4557155074074074 0.7436812411458333 0.4388426453703704 0.7416058833333333 0.4388426453703704 0.7416602859375 0.45574401388888885, 3 0.7548035463541667 0.436077537037037 0.7548035463541667 0.43961231481481483 0.7651198869791667 0.4395267962962963 0.7651017531250001 0.4361060435185185 0.7548035463541667 0.436077537037037, 3 0.7840741489583334 0.43608323796296294 0.7840137015625 0.4395610037037037 0.7921136411458334 0.4394469787037037 0.7921136411458334 0.43622576944444447 0.7840741489583334 0.43608323796296294hello asdfasdf sample showing 3 0.1896957484375 0.5573888259259259 0.19099335104166668 0.5574030787037036 0.19100544010416665 0.5404304444444444 0.1943300421875 0.5404446981481482 0.19429780364583332 0.5388055870370371 0.1876788234375 0.538811288888889 0.18765867395833336 0.5317987453703703 0.18647390677083334 0.5317930444444444 0.18649002604166667 0.5404646518518519 0.18969776354166665 0.5404047888888889 0.1896957484375 0.5573888259259259, 3 0.19098730625 0.5555843787037037 0.19099335104166668 0.5574030787037036 0.20397541822916668 0.5573603194444445 0.2039693734375 0.5555444694444445 0.19098730625 0.5555843787037037, 3 0.2762139833333333 0.5555729759259259 0.2762159984375 0.5574116305555555 0.2892081401041667 0.5574173314814814 0.2892303041666667 0.5555872296296297 0.2762139833333333 0.5555729759259259, 3 0.36140439270833336 0.5555587231481481 0.3614084223958333 0.5574828962962963 0.3744005640625 0.5573717222222222 0.37442071302083335 0.5555444694444445 0.36140439270833336 0.5555587231481481hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481, 3 0.16230102760416668 0.5782839222222222 0.16230102760416668 0.5835518814814815 0.1683659078125 0.5834948685185185 0.16834575885416667 0.5782212083333333 0.16230102760416668 0.5782839222222222hello asdfasdf sample showing 3 0.7416058833333333 0.4388426453703704 0.7457787630208333 0.43882554166666665 0.745718315625 0.43606043333333333 0.7416078984375001 0.43606043333333333 0.7416058833333333 0.4388426453703704, 3 0.7416602859375 0.45574401388888885 0.7437759421875001 0.4557155074074074 0.7436812411458333 0.4388426453703704 0.7416058833333333 0.4388426453703704 0.7416602859375 0.45574401388888885, 3 0.7548035463541667 0.436077537037037 0.7548035463541667 0.43961231481481483 0.7651198869791667 0.4395267962962963 0.7651017531250001 0.4361060435185185 0.7548035463541667 0.436077537037037, 3 0.7840741489583334 0.43608323796296294 0.7840137015625 0.4395610037037037 0.7921136411458334 0.4394469787037037 0.7921136411458334 0.43622576944444447 0.7840741489583334 0.43608323796296294hello asdfasdf sample showing 3 0.7416058833333333 0.4388426453703704 0.7457787630208333 0.43882554166666665 0.745718315625 0.43606043333333333 0.7416078984375001 0.43606043333333333 0.7416058833333333 0.4388426453703704, 3 0.7416602859375 0.45574401388888885 0.7437759421875001 0.4557155074074074 0.7436812411458333 0.4388426453703704 0.7416058833333333 0.4388426453703704 0.7416602859375 0.45574401388888885, 3 0.7548035463541667 0.436077537037037 0.7548035463541667 0.43961231481481483 0.7651198869791667 0.4395267962962963 0.7651017531250001 0.4361060435185185 0.7548035463541667 0.436077537037037, 3 0.7840741489583334 0.43608323796296294 0.7840137015625 0.4395610037037037 0.7921136411458334 0.4394469787037037 0.7921136411458334 0.43622576944444447 0.7840741489583334 0.43608323796296294hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481, 3 0.16230102760416668 0.5782839222222222 0.16230102760416668 0.5835518814814815 0.1683659078125 0.5834948685185185 0.16834575885416667 0.5782212083333333 0.16230102760416668 0.5782839222222222hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481, 3 0.16230102760416668 0.5782839222222222 0.16230102760416668 0.5835518814814815 0.1683659078125 0.5834948685185185 0.16834575885416667 0.5782212083333333 0.16230102760416668 0.5782839222222222hello asdfasdf sample showing 3 0.7416058833333333 0.4388426453703704 0.7457787630208333 0.43882554166666665 0.745718315625 0.43606043333333333 0.7416078984375001 0.43606043333333333 0.7416058833333333 0.4388426453703704, 3 0.7416602859375 0.45574401388888885 0.7437759421875001 0.4557155074074074 0.7436812411458333 0.4388426453703704 0.7416058833333333 0.4388426453703704 0.7416602859375 0.45574401388888885, 3 0.7548035463541667 0.436077537037037 0.7548035463541667 0.43961231481481483 0.7651198869791667 0.4395267962962963 0.7651017531250001 0.4361060435185185 0.7548035463541667 0.436077537037037, 3 0.7840741489583334 0.43608323796296294 0.7840137015625 0.4395610037037037 0.7921136411458334 0.4394469787037037 0.7921136411458334 0.43622576944444447 0.7840741489583334 0.43608323796296294hello asdfasdf sample showing 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481, 3 0.16230102760416668 0.5782839222222222 0.16230102760416668 0.5835518814814815 0.1683659078125 0.5834948685185185 0.16834575885416667 0.5782212083333333 0.16230102760416668 0.5782839222222222

About hello Dataset

A description for this project has not been published yet.

Use Free 1 0 0 0 1 1 1 1 0 0 0, 3 0 and 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926 Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "1 0 0 0 1 1 1 1 0 0 0, 3 0, 3 0.06819061041666667 0.5834891675925926 0.07121297604166667 0.5834891675925926 0.0712371546875 0.47772804999999996 0.06816441666666666 0.4777622574074074 0.06819061041666667 0.5834891675925926, 3 0.09850695156249999 0.5782497148148148 0.09850695156249999 0.5835148231481482 0.10578279270833332 0.5835518814814815 0.10578682239583334 0.5782326111111111 0.09850695156249999 0.5782497148148148, 3 0.11876888958333334 0.5782867731481481 0.11876888958333334 0.5835547324074074 0.12604473125000001 0.5835889398148149 0.1260487609375 0.5782696694444445 0.11876888958333334 0.5782867731481481"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ hello-v3nmn_dataset,
  title = { hello Dataset },
  type = { Open Source Dataset },
  author = { project },
  howpublished = { \url{ https://universe.roboflow.com/project-vsicx/hello-v3nmn } },
  url = { https://universe.roboflow.com/project-vsicx/hello-v3nmn },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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