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Life & fun · alternatives · 2026

24 alternatives to Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible

A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir

Real-Time YOLO Object Detection in Elixir is a software implementation that brings YOLO object detection capabilities to the Elixir programming language. It enables developers to identify and locate objects in images… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible launched in 2024; newer entries below may have overtaken it.

  1. 1
    YOLO▲175

    Real-time object detection

    2017 · pjreddie.com · its alternatives →

  2. 2UY

    I used the YOLO object detection library from Ultralytics to scan over 40 million hotel photos and identify images with office chairs. This helped me create a map showing hotels suitable for remote work. Map: https://www.tripoffice.com/maps Yolo: https://www.ultralytics.com/yolo The whole process was done on a home Mac without the use of any LLMs. It's based on traditional object detection technology.

    2025 · its alternatives →

  3. 3
    YOLO▲16

    Real-time object detection

    2018 · pjreddie.com · its alternatives →

  4. 4UD
  5. 5ID

    Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

    2020 · arxiv.org · its alternatives →

  6. 6

    This runs YOLOv8 + bytetrack with Tinygrad detections (depending on user config) are saved and can be sent to the companion iOS app along with a notification, all video processing is done locally, all footage is encrypted before leaving your computer, and the sending notifications + videos part is optional. This uses tinygrad, so it runs well on my apple silicon macs and should be able to run on a lot of hardware (or will be able to when I remove other deps).

    2025 · github.com · its alternatives →

  7. 7

    A Blender addon for generating synthetic ground truth data for Computer Vision applications - GitHub - Cartucho/vision_blender: A Blender addon for generating synthetic ground truth data for Computer Vision applications

    2020 · github.com · its alternatives →

  8. 8UC
  9. 9

    Real-time YOLOv8n UAV detection on the RK3588S NPU | saturates the sensor at 46 FPS | ~140 MB RAM | fully hardware-accelerated (ISP+RGA+NPU) | on-device LLM scene summaries - alebal123bal/khadas_yolov8n_multithread

    Jun 2026 · github.com · its alternatives →

  10. 10OD

    2021 · strayrobots.io · its alternatives →

  11. 11AF
  12. 12

    All-you-can-eat image object detection @ fixed monthly price

    2020 · ko-br.com · its alternatives →

  13. 13OO
  14. 14
    Annot8▲140

    The fastest way to tag images for object detection datasets

    2025 · apps.apple.com · its alternatives →

  15. 15
    Krea 3▲82

    Krea's AI image model: 2K edits in under 8 seconds

    6d ago · its alternatives →

  16. 16

    Multi-object trackers in Python. Contribute to adipandas/multi-object-tracker development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  17. 17

    Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. - GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

    2017 · github.com · its alternatives →

  18. 18

    Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.

    2022 · rf100.org · its alternatives →

  19. 19

    Label images and video for Computer Vision applications - Cartucho/OpenLabeling

    2018 · github.com · its alternatives →

  20. 20

    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 →

  21. 21
    YOLObot▲87

    Smart camera app for iOS

    2019 · yolobot.vercel.app · its alternatives →

  22. 22

    Hello! I've created a small library for tracking, along with a tutorial. I plan to continue developing it. Tracking is an important topic, closely related to object detection. However, I've noticed that it doesn't receive as much attention compared to machine learning approaches. Or, the focus is on filters like the Kalman filter. This tutorial begins with single object tracking and progressively complicates the tasks, introducing various models and a hypothesis tree to solve them.

    2023 · github.com · its alternatives →

  23. 23

    The machine learning API for non-experts

    2022 · nyckel.com · its alternatives →

  24. 24
    Malt▲68

    The fastest way to turn videos into training data

    2022 · 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 →