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Mango Original Dataset Computer Vision Model

byAlavia BatoolTask:
Instance Segmentation
License:CC BY 4.067 views

How to use the Mango Original Dataset Segmentation API

Try This Model

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Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="mango-original-dataset-tyctx/4")
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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": "Blotchy Green Skin, Dendritic Spot, Foreign Matter, Healthy Mango, Mango Rot"
  },
  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 
See all 639 imagesMango Original Dataset mango-diseases sample showing Mango Rot, Physical Damage, Water LossMango Original Dataset mango-diseases sample showing Blotchy Green Skin, Physical Damage, Water LossMango Original Dataset mango-diseases sample showing Healthy MangoMango Original Dataset mango-diseases sample showing Healthy MangoMango Original Dataset mango-diseases sampleMango Original Dataset mango-diseases sample showing Mango Rot, Water LossMango Original Dataset mango-diseases sample showing Healthy MangoMango Original Dataset mango-diseases sample showing Blotchy Green Skin, Foreign Matter, Mango Rot, Physical DamageMango Original Dataset mango-diseases sample showing Mango Rot, Water LossMango Original Dataset mango-diseases sample showing Blotchy Green Skin, Physical DamageMango Original Dataset mango-diseases sample showing Mango Scab, SapburnMango Original Dataset mango-diseases sample showing Physical Damage

About Mango Original Dataset Model

This dataset contains mango images captured from fruit markets in Islamabad and Rawalpindi. Sparx Neo 7 Ultra mobile camera was used to capture images (took 5 sessions). It is to be noted that all the stall owners gave their consent before the image capturing. Most of the images were taken around 10 o’clock till 12 o’clock afternoon and some were taken around 3 o’clock evening. A total of 29 classes were identified in the local dataset including physical damage, skin browning, mango rot, blotchy green skin, dendritic spot, foreign matter, healthy mango, mango scab, sapburn, water loss and tear stain.

Cite This Project

LicenseCC BY 4.0

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

@misc{ mango-original-dataset-tyctx_dataset,
  title = { Mango Original Dataset Dataset },
  type = { Open Source Dataset },
  author = { Alavia Batool },
  howpublished = { \url{ https://universe.roboflow.com/alavia-batool-ov8a3/mango-original-dataset-tyctx } },
  url = { https://universe.roboflow.com/alavia-batool-ov8a3/mango-original-dataset-tyctx },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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