Implementation:Open compass VLMEvalKit WildVision
Appearance
| Field | Value |
|---|---|
| source | VLMEvalKit |
| domain | Vision, Benchmarking, In-the-wild Vision |
Overview
Benchmark dataset implementation for WildVision evaluation in VLMEvalKit.
Description
WildVision inherits from ImageBaseDataset and implements the WildVision benchmark for evaluating models on in-the-wild vision tasks. The TYPE field is set to 'VQA'. It uses a pairwise comparison scoring system (A>>B through B>>A) for relative model evaluation.
Usage
Registered in vlmeval/dataset/__init__.py and invoked through build_dataset() by benchmark name.
Code Reference
- Source:
vlmeval/dataset/wildvision.py, Lines: L1-222 - Import:
from vlmeval.dataset.wildvision import WildVision
Signature:
class WildVision(ImageBaseDataset):
TYPE = 'VQA'
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('WildVision')
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Principle
Implementation
Heuristic
Environment