Build an open-source computer vision model in seconds using text
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…
Build an open-source computer vision model in seconds using text launched on November 28, 2023 with 64 votes, #1,136 of 4,333 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Zeroshot is an open-source web tool that creates custom image classifiers in seconds using text descriptions and autolabeling. Designed for developers who need computer vision capabilities, it builds classifiers faster and more accurate than CLIP, which users can deploy independently without per-API-call fees. The tool leverages text-image foundation models to let developers compile specialized models through a simple interface, eliminating the need for machine learning expertise or ongoing service costs.
written from the facts on this page · September 2026
From the sources
Efficient and simple image classification for developers
Zeroshot is a free, community-driven product for versatile applications. Fast and efficient real-time image classification. More accurate and faster than OpenAI's CLIP. No internet required, you can use Zeroshot and deploy from anywhere, anytime. Save costs with a fast, local model that doesn't cost money each time it'sfrom usezeroshot.com
In the maker’s words, at launch
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…
Does a similar job
all alternatives →- BVBenchmarking VLMs vs. Traditional OCR2025 · getomni.ai · ▲146
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
- QBQuickly build a production ready image classifier from your images2018 · blog.machinebox.io · ▲142
Ideogram 4.0 – open-weight 9.3B text-to-image modelJun 2026 · github.com · ▲46It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Hotshot – 4 Person Team Builds a State of the Art Video Model2024 · hotshot.co · ▲26Hi HN! We're proud to share Hotshot, a large-scale diffusion transformer model for text-to-video generation that we built with just a 4-person team. You can try it today in beta at https://hotshot.co, with 2 free generations per day. The model generates 5 seconds of 720p video from text prompts. It excels at prompt alignment, and consistency. It also excels at generating people, animals, and nature. In blind tests with 100 users, Hotshot generations were preferred to Runway ML 60% of the time. Hotshot generations were preferred to Luma 80% of the time. Overall, users preferred…
FastShotAI - Free AI Headshot Generator2024 · fastshotai.com · ▲43Generate free AI headshots in less than 30 seconds
Open-Source Zero-Shot Image Model Server Enabling Model Feedback2024 · github.com · ▲5Hi everyone! Here is an open source implementation of a decently performant server hosting zero-shot image models (CLIP for image classification, OWL-ViT-ST for object detection), with an extra algorithm to allow users to give the models feedback when they make mistakes! We built a company off this flavor of tech two years ago and have clients who are currently using our commercial API. We are now moving on to other projects but want to make sure our clients still have access to the approaches that they've grown to rely on, so we're open sourcing a simple implementation that they'll be able…
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