Albumentations.AI
Official@albumentations-team · United States of America
Open-source image augmentation ecosystem for computer vision. Home of AlbumentationsX, Explore, benchmarks, and the MIT-licensed Albumentations archive.
Agent Skills by Albumentations.AI
Showing 10 vetted skills indexed across 1 GitHub repositories.
albumentations-teampaper-benchmark-execution
Orchestrate paper benchmark execution for RGB, multichannel, DataLoader, and video benchmarks.
albumentations-teambenchmark-results-publisher
Convert benchmark result JSONs into documentation-ready tables and figures.
albumentations-teamgcp-benchmark-triage
Triage detached GCP benchmark runs by inspecting logs and validating artifacts.
albumentations-teamdocumentation-generator
Automate benchmark README table, speedup plot, and metadata updates.
albumentations-teampre-commit-validation
Automate pre-commit checks and auto-fixes for Python projects using Ruff, Mypy, Pyright, and ShellCheck.
albumentations-teamperformance-analysis
Analyze benchmark result JSON to detect slow transforms, warmup instability, and regressions.
albumentations-teambenchmark-runner
Automate image and video augmentation benchmarks across libraries with YAML configs.
albumentations-teamtransform-spec-validator
Validate transform specification files for the benchmark runner.
albumentations-teamlibrary-integration
Implement image/video augmentation library transforms and register matrix specs.
albumentations-teampaper-coverage-validator
Validate benchmark artifacts for required RGB micro and RGB DataLoader sections.
Frequently Asked Questions About Albumentations.AI
FAQPage SchemaWhat specific computer vision tasks are supported by these benchmarks?▼
These capabilities support benchmarking for RGB image processing, multichannel data handling, and video augmentation sequences. The system enables rigorous performance evaluation of DataLoader throughput and transform latency across various computer vision libraries.
Who is the target persona for these benchmarking utilities?▼
The target personas are computer vision researchers, library maintainers, and performance engineers. These individuals use the system to validate transform specifications, detect performance regressions, and generate standardized documentation for augmentation library comparisons.
What is the licensing model for the Albumentations ecosystem?▼
The Albumentations ecosystem is provided under the MIT license. This open-source model allows for free integration, modification, and distribution of the benchmarking and validation components within research and commercial computer vision projects.