Thesis project again Computer Vision Dataset
byThesisTask:
Object Detection
About Thesis project again Dataset
Detect people in all kinds of scenarios using this generalized dataset.
For this dataset, we curated images and annotations from various projects from Universe to create a well performing model regardless of scenario by pulling from a variety of specialized datasets.
We selected data that ranged in type, context, annotation size, annotation count and cameras.
This dataset used images and/or annotations from the following Universe projects:
- First Pedestrian Test (CC BY 4.0 license)
- person_camera_security1 (CC BY 4.0 license)
- Human Action Recognition 2000 (CC BY 4.0 license)
- People Detection (CC BY 4.0 license)
- contador-de-gente teste 3 (CC BY 4.0 license)
- OD3 (CC BY 4.0 license)
- Person Detection (CC BY 4.0 license)
- MOT17-03-DPM
- The Curve (CC BY 4.0 license)
- pedestrain safety (CC BY 4.0 license)
- People Detection (CC BY 4.0 license)
- people、rabish (CC BY 4.0 license)
- Pascal VOC 2012 (CC BY 4.0 license)
- Person Detection (General) (CC BY 4.0 license)
Use Free Human 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": "Human"
},
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
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ thesis-project-again_dataset,
title = { Thesis project again Dataset },
type = { Open Source Dataset },
author = { Thesis },
howpublished = { \url{ https://universe.roboflow.com/thesis-xxfpt/thesis-project-again } },
url = { https://universe.roboflow.com/thesis-xxfpt/thesis-project-again },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { mar },
note = { visited on 2026-07-29 },
}