rf100vl
RF100-VL Dataset Interface
Decision gist · record as of 2026-08-14
Yes. The package offers low install friction, active maintenance, permissive licensing, and provides access to a substantial benchmark resource for object detection research. Install it if you are working on vision-language models, few-shot detection, or need a diverse multi-domain evaluation dataset—but note that you must obtain and configure a Roboflow API key beforehand.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a free Roboflow Universe API key set in the ROBOFLOW_API_KEY environment variable to download datasets.
- Low install friction with a single runtime dependency (roboflow).
- Package is actively maintained with recent releases.
License · maintenance · safety
permissive license (permissive) — Licensed under permissive terms (MIT), allowing commercial and private use without significant restrictions.
last release 2026-05-23 (83 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 190,578 downloads/mo, #9,905 on PyPI
Alternatives
Verify before relying
pip install rf100vl
from rf100vl import download_rf100vl
download_rf100vl(path="./rf100-vl/")- Whether the package supports incremental or resumable downloads for large dataset transfers.
- Performance characteristics when downloading multiple datasets or subsets in parallel.
- Memory requirements for loading and processing full RF100-VL or RF20-VL datasets.
What it is and what it does
RF100-VL is a Python interface to a large-scale object detection benchmark comprising 100 annotated datasets spanning seven domains: flora and fauna, sport, industry, document processing, laboratory imaging, aerial imagery, and miscellaneous real-world use cases. The package wraps the Roboflow platform to provide helper functions for retrieving dataset objects and downloading data in COCO JSON format.
The package is designed for researchers and practitioners benchmarking object detection models, including fully supervised, semi-supervised, few-shot, and vision-language models with localization capabilities. It includes subsets like RF100-VL-FSOD and RF20-VL for few-shot object detection evaluation, and supports the CVPR 2025 Few-Shot Object Detection challenge. Datasets are downloaded to local directories organized by project, making it straightforward to iterate on model development and evaluation.
Use it for
- Benchmark vision-language models on out-of-distribution object detection tasks across multiple domains.
- Evaluate few-shot object detection models using RF20-VL-FSOD with 10 annotated examples per class.
- Download and organize multi-domain datasets for training and testing custom object detection systems.
- Participate in the CVPR 2025 Few-Shot Object Detection challenge with standardized evaluation protocols.
- Compare fully supervised and semi-supervised detection approaches on diverse real-world imagery.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package offers low install friction, active maintenance, permissive licensing, and provides access to a substantial benchmark resource for object detection research. Install it if you are working on vision-language models, few-shot detection, or need a diverse multi-domain evaluation dataset—but note that you must obtain and configure a Roboflow API key beforehand.
Install
rf100vl on PyPI
Before you install
Low install friction with a single runtime dependency (roboflow). Package is actively maintained with recent releases.
Requires a free Roboflow Universe API key set in the ROBOFLOW_API_KEY environment variable to download datasets.
License in practice
Licensed under permissive terms (MIT), allowing commercial and private use without significant restrictions.
Quickstart
pip install rf100vl
from rf100vl import download_rf100vl
download_rf100vl(path="./rf100-vl/")Verify before relying
- Whether the package supports incremental or resumable downloads for large dataset transfers.
- Performance characteristics when downloading multiple datasets or subsets in parallel.
- Memory requirements for loading and processing full RF100-VL or RF20-VL datasets.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageroboflow |
| Maintenance | Actively maintained 83 days since the last release |
| First released | |
| Downloads | 190,578 / month, #9,905 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: rf100vl-1.1.2-py3-none-any.whl
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