---
title: "Rebalance dataset"
method: POST
path: "/api/{projectId}/rebalance"
tags: ["Raw data"]
---

# Rebalance dataset

`POST /api/{projectId}/rebalance`

## Request

- Base URL: `https://studio.edgeimpulse.com/v1`
- URL: `https://studio.edgeimpulse.com/v1/api/{projectId}/rebalance`
- Auth: one of:
  - API key in header `x-api-key`
  - API key in cookie `jwt`
  - API key in header `x-jwt-token`
  - OAuth 2
    - Authorization code: `/v1/oauth/authorize`
    - Client credentials
    - Implicit: `/v1/oauth/authorize`
    - Password
    - Token URL: `/v1/oauth/token`
- TypeScript: <https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/docs/api/:projectId/rebalance/post.ts> (a function with typed inputs; its response is checked against the schema)

This API is deprecated, use rebalanceDatasetV2 instead (`/v1/api/{projectId}/v2/rebalance`). Rebalances the dataset over training / testing categories. This resets the category for all data and splits it 80%/20% between training and testing. This is a deterministic process based on the hash of the name of the data.

## Path parameters

- `projectId` integer, required

## Response `200`

OK

- RebalanceDatasetResponse
  - `success` boolean, required: Whether the operation succeeded
  - `error` string: Optional error description (set if 'success' was false)
  - `ratio` object, required
    - `training` integer: Number of training samples after rebalance
    - `validation` integer: Number of validation samples after rebalance.
    - `testing` integer: Number of testing samples after rebalance. This ignores test data with a label that's not in the training dataset.

---

[API](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api.md) - [All operations](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/llms.txt) - [OpenAPI document](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/revisions/e2a976d38427?raw)