merge-mycar Computer Vision Dataset
About merge-mycar Dataset
A custom object detection dataset for vehicle and pedestrian tracking.
Includes annotated instances of mycar, person, car, and motorcycle.
This dataset is designed to train and evaluate real-time models (e.g. YOLOv8/YOLOv12) for tasks such as surveillance, traffic monitoring, or autonomous systems.
📦 License: MIT
📸 Source: Collected from private camera footage and public domain datasets
📊 Class Distribution: 4 classes across ~700 images
⚙️ Augmented via Roboflow with blur, scale, flip, and exposure variance
This project supports iterative model-assisted labeling using Roboflow Train and Deploy.
Optimized for model-assisted annotation — detect first, fix later!
Use Free 1_person, 2_car and 3_motorcycle Detection API
Powered by general detection model
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": "1_person, 2_car, 3_motorcycle"
},
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
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{ merge-mycar_dataset,
title = { merge-mycar Dataset },
type = { Open Source Dataset },
author = { KARN AUNTACHAI },
howpublished = { \url{ https://universe.roboflow.com/karn-auntachai/merge-mycar } },
url = { https://universe.roboflow.com/karn-auntachai/merge-mycar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jul },
note = { visited on 2026-07-29 },
}