Universe

COCO 128 Computer Vision Dataset

byknyTask:
Object Detection
License:CC BY 4.0
See all 372 imagesCOCO 128 common-objects sample showing bicycle, dog, personCOCO 128 common-objects sample showing baseball bat, baseball glove, person, sports ballCOCO 128 common-objects sample showing car, train, truckCOCO 128 common-objects sample showing book, bottle, bowl, mouse, teddy bear, tvmonitorCOCO 128 common-objects sample showing bottle, bowl, knife, oven, refrigeratorCOCO 128 common-objects sample showing zebraCOCO 128 common-objects sample showing cup, diningtable, pizza, wine glassCOCO 128 common-objects sample showing cell phone, pottedplant, sink, toiletCOCO 128 common-objects sample showing backpack, bench, book, car, cell phone, person, tieCOCO 128 common-objects sample showing frisbee, personCOCO 128 common-objects sample showing donutCOCO 128 common-objects sample showing person, stop sign, train

About COCO 128 Dataset

COCO 128 is a subset of 128 images of the larger COCO dataset. It reuses the training set for both validation and testing, with the purpose of proving that your training pipeline is working properly and can overfit this small dataset.

COCO 128 is a great dataset to use the first time you are testing out a new model.

Use Free Car, Truck and Bus 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": "car, truck, bus, dog, cat"
  },
  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

LicenseCC BY 4.0

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

@misc{ coco-128-57s7f_dataset,
  title = { COCO 128 Dataset },
  type = { Open Source Dataset },
  author = { kny },
  howpublished = { \url{ https://universe.roboflow.com/kny-ydcdy/coco-128-57s7f } },
  url = { https://universe.roboflow.com/kny-ydcdy/coco-128-57s7f },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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