Life & fun · alternatives · 2026
24 alternatives to Generating a dataset from unlabeled image data
This is a guide published on Medium about creating labeled datasets from unlabeled images. It's for researchers, machine learning engineers, and data scientists who need to prepare image data for training models. The… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Generating a dataset from unlabeled image data launched in 2019; newer entries below may have overtaken it.
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Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
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Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
- 3QB
2018 · blog.machinebox.io · its alternatives →
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Annotate images with ease. Export to any format.
2021 · roboflow.com · its alternatives →
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Reduce bias in AI systems with synthetic face datasets
2020 · generated.photos · its alternatives →
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AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards - metabase/dataset-generator
2025 · github.com · its alternatives →
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Generate worry-free, diverse models on-demand using AI
2019 · generated.photos · its alternatives →
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No-code visual data transformation software tool for Windows & Mac. Download a free trial.
2019 · easydatatransform.com · its alternatives →
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Lightly▲148Improve your machine learning models by using the right data
2021 · lightly.ai · its alternatives →
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Quickly train custom machine learning models in your browser
2018 · thekevinscott.github.io · its alternatives →
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Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
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Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…
2023 · usezeroshot.com · its alternatives →
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- 18DC
2016 · datasets.co · its alternatives →
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Create data on-the-fly using AI knowledge
2023 · myriade.ai · its alternatives →
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Instantly create infographics: turn data into visual stories
2024 · venngage.com · its alternatives →
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Accelerate your vision AI model creation!
2022 · syntheticaidata.com · its alternatives →
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Hey HN, I’m Jordan cofounder of Humanloop (YC S20) and I’m excited to show you Programmatic — an annotation tool for building large labeled datasets for NLP without manual annotation. Programmatic is like a REPL for data annotation. You: 1. Write simple rules/functions that can approximately label the data 2. Get near-instant feedback across your entire corpus 3. Iterate and improve your rules Finally, it uses a Bayesian label model [1] to convert these noisy annotations into a single, large, clean dataset, which you can then use for training machine learning models. You can…
2022 · programmatic.humanloop.com · its alternatives →
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A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported - andywang0607/AutoAnnotationTool
2020 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →