spcl / spcl/serverless-benchmarks
Batched requests for 411.image-recognition
Open
Nobody has claimed this yet.
benchmark
enhancement
good first issue
- Dominant language
- Python
- Stars
- 199
- Forks
- 105
- PR merge metrics
- No merged PRs in 30d
Description
Currently, the benchmark 411.image-recognition has only a single input class - one image. Since each image taskes roughly the same amount of time, we should generate different classes of input size like small and large by creating a batch of requests to be processed by the function.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the 411.image-recognition benchmark and its current single-image input generation and request-processing path. Inspect how benchmark input classes are defined; done means the benchmark generates distinct small and large batches of image requests for processing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 62/100