Field Targets Computer Vision Model
How to use the Field Targets Detection API
Try This Model
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Model type: Roboflow 2.0 Object Detection (Fast)
Dataset: field-targets/8 (447 images)
Checkpoint: COCOv6n
Nov 28, 2022
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="field-targets/8")Give your agent everything it needs
Or, Use Free Car and Targets Detection API
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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": "Car, Targets"
},
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 Field Targets Model
Initial dataset was the images collected from the fields experiment and uploaded from the Batch 12 of the experiment. Batch 12:
- Height of ~70m with average velocity of 7 m/sec, with lense of 24mm and the camera on autofocus.
- The conditions were sunny clear and the 12th batch was shot approixmately around 14:13.
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseMITIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ field-targets_dataset,
title = { Field Targets Dataset },
type = { Open Source Dataset },
author = { Thesis },
howpublished = { \url{ https://universe.roboflow.com/thesis-yz9gi/field-targets } },
url = { https://universe.roboflow.com/thesis-yz9gi/field-targets },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2026-07-29 },
}