Apple_Detections Computer Vision Model
How to use the Apple_Detections Detection API
Try This Model
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Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: apple_detections/3 (253 images)
Checkpoint: apple_detections/2
Jul 11, 2025
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="apple_detections/3")Give your agent everything it needs
Or, Use Free Tree, GreenApple and RedApple 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": "Tree, GreenApple, RedApple"
},
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
About Apple_Detections Model
Annotated Green and Red apple dataset for my final year yield estimator project
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ apple_detections_dataset,
title = { Apple_Detections Dataset },
type = { Open Source Dataset },
author = { SkripsieAppleCounting },
howpublished = { \url{ https://universe.roboflow.com/skripsieapplecounting/apple_detections } },
url = { https://universe.roboflow.com/skripsieapplecounting/apple_detections },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { sep },
note = { visited on 2026-07-29 },
}