TARGET PRO Computer Vision Model

byMAG5 TARGET PROTask:
Object Detection
License:CC BY 4.0190 views15 downloads

How to use the TARGET PRO Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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="target-pro/3")
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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": "0, 10, 7, 8, 9"
  },
  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 TARGET PRO Model

Here are a few use cases for this project:

  1. Forensics Analysis: This model can be used by security agencies or forensic experts to analyze crime scenes with gun-related incidents. Identification of bullet holes can assist in trajectory analysis, determining the type of firearm used, as well as reconstructing the sequence of events.

  2. Military Training: "TARGET PRO" can be utilized in military training grounds, to automatically gauge shooting accuracy by identifying and classifying bullet holes on targets during practice sessions. This can lead to improved training methods and tactics.

  3. Ballistics Research: Researchers, working on ballistic and firearm technologies, could use this model to study the impact and penetration patterns of different ammunition types, contributing to the development of safer and more effective firearms.

  4. Ammunition Quality Control: Manufacturers of firearms and ammunitions can employ this model in quality control processes, helping to evaluate the consistency and effectiveness of various ammunition designs by analyzing bullet-hole patterns.

  5. Shooting Range Services: At shooting ranges, the model could provide automated scoring and performance tracking for participants, based on the bullet holes it identifies and classifies on target boards. This could enhance user experience by providing instant and accurate results.

Cite This Project

LicenseCC BY 4.0

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

@misc{ target-pro_dataset,
  title = { TARGET PRO Dataset },
  type = { Open Source Dataset },
  author = { MAG5 TARGET PRO },
  howpublished = { \url{ https://universe.roboflow.com/mag5-target-pro/target-pro } },
  url = { https://universe.roboflow.com/mag5-target-pro/target-pro },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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