Universe

leopard_detection Computer Vision Dataset

byLeopard IDTask:
Object Detection
License:Public Domain3.25k views158 downloads
See all 4.9k imagesleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, head, right_flankleopard_detection leopard sample showing 0, head, left_flankleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, head, right_flankleopard_detection leopard sample showing 0, head, right_flankleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, headleopard_detection leopard sample showing 0, right_flank

About leopard_detection Dataset

Here are a few use cases for this project:

  1. Wildlife Conservation: Researchers and conservation professionals can use the "leopard_detection" model to analyze images from camera traps or drones to monitor leopard populations, understand their movement patterns, and create effective conservation strategies.

  2. Animal Behavior Analysis: By identifying different body parts of leopards, this model can contribute to studying the behavior and social interactions of leopard populations in the wild, helping scientists gain insights into their communication and ecology.

  3. Automated Image Annotation: photo-sharing platforms or databases dedicated to wildlife photography can use "leopard_detection" to automatically annotate and classify images of leopards, making it easier for users to search for and find specific leopard images based on the featured body parts.

  4. Poaching Deterrence: Anti-poaching units can use the "leopard_detection" model to analyze images from surveillance cameras installed in protected areas, allowing them to detect and track the presence of leopards in real-time and respond quickly to potential poaching threats.

  5. Augmented Reality (AR) Tours in Zoos and Nature Reserves: Using the "leopard_detection" model as part of an AR wildlife tour app, visitors can quickly identify different body parts of leopards and receive additional information about these animals, enhancing their educational experience at zoos and nature reserves.

Use Free Head, Top and . 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": "head, top, ., \, 0"
  },
  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

LicensePublic Domain

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

@misc{ leopard_detection_dataset,
  title = { leopard_detection Dataset },
  type = { Open Source Dataset },
  author = { Leopard ID },
  howpublished = { \url{ https://universe.roboflow.com/leopard-id/leopard_detection } },
  url = { https://universe.roboflow.com/leopard-id/leopard_detection },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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