Second Trial Computer Vision Model
How to use the Second Trial Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: Roboflow RF-DETR Object Detection (Nano)
Dataset: second-trial-qr10e/13 (506 images)
Checkpoint: second-trial-qr10e/12
Mar 20, 2026
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="second-trial-qr10e/13")Give your agent everything it needs
Or, Use Free Anemone, Arthropod and Coral 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": "Anemone, Arthropod, Coral, Echinoderm, Jelly"
},
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 Second Trial Model
This AI was built for the use of our research that focuses on AI detection of Marine Species within the Philippines
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ second-trial-qr10e_dataset,
title = { Second Trial Dataset },
type = { Open Source Dataset },
author = { Zens Workspace },
howpublished = { \url{ https://universe.roboflow.com/zens-workspace-kn6bz/second-trial-qr10e } },
url = { https://universe.roboflow.com/zens-workspace-kn6bz/second-trial-qr10e },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { mar },
note = { visited on 2026-07-29 },
}










