Implementation:Open compass VLMEvalKit OceanOCRBench

Field	Value
source	VLMEvalKit
domain	Vision, Benchmarking, OCR, Text Extraction

Overview

Benchmark dataset implementation for OceanOCRBench evaluation in VLMEvalKit.

Description

OceanOCRBench inherits from ImageBaseDataset and implements the OceanOCR benchmark for comprehensive text extraction evaluation. The TYPE field is set to 'QA'. It uses a system prompt instructing models to pull all textual information from images.

Usage

Registered in vlmeval/dataset/__init__.py and invoked through build_dataset() by benchmark name.

Code Reference

Source: vlmeval/dataset/oceanocr.py, Lines: L1-232
Import: from vlmeval.dataset.oceanocr import OceanOCRBench

Signature:

class OceanOCRBench(ImageBaseDataset):
    TYPE = 'QA'
    DATASET_URL = {...}
    DATASET_MD5 = {...}
    ...

I/O Contract

Direction	Description
Inputs	TSV dataset file with image/video paths and questions
Outputs	Evaluation results DataFrame with scores per category

Usage Examples

from vlmeval.dataset import build_dataset
dataset = build_dataset('OceanOCRBench')

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Principle

Implementation

Heuristic

Environment