Valentines Chocolates Object Detection Model by Chocolates

How to use the Valentines Chocolates Detection API

Try This Model

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Checkpoint: valentine-s-chocolates/3

Feb 7, 2022

Code Snippets

from inference_sdk import InferenceHTTPClient, InferenceConfiguration

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
).configure(InferenceConfiguration(
    api_key_transport="header"  # header-based auth (inference v1.5.0+)
))

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="valentines-chocolates/4")

Give your agent everything it needs

Or, Use Free Sees-dark-almond-nougat, Sees-dark-almonds and Sees-dark-bordeaux Detection API

pip install inference-sdk

Run on custom image

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Overview

This is an attempt to make a computer vision model that can identify chocolates in a box of chocolates.

I trained this model on images of a See’s 1lb Classic Red Heart - Assorted Chocolates box. There are 22 different classes, one for each type of chocolate in this box.

This dataset contains 87 original images, and 1,697 annotations.

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Cite This Project

LicenseCC BY 4.0

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

@misc{ valentines-chocolates_dataset,
  title = { Valentines Chocolates Dataset },
  type = { Open Source Dataset },
  author = { Chocolates },
  howpublished = { \url{ https://universe.roboflow.com/chocolates/valentines-chocolates } },
  url = { https://universe.roboflow.com/chocolates/valentines-chocolates },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { aug },
  note = { visited on 2026-10-08 },
}