Comments URL: https://news.ycombinator.com/item?id=45981155

Points: 9

# Comments: 3

Comments URL: https://news.ycombinator.com/item?id=45431324

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44830978

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44825566

Points: 5

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44669873

Points: 2

# Comments: 0

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1]: https://roboflow.com/?ref=whoishiring0725

[2]: https://roboflow.com/universe?ref=whoishiring0725

[3]: https://github.com/roboflow/rf-detr

[4]: https://github.com/roboflow/supervision

[5]: https://blog.roboflow.com/?ref=whoishiring0725

[6]: https://www.youtube.com/@Roboflow

[7]: https://blog.roboflow.com/series-b/

Comments URL: https://news.ycombinator.com/item?id=44396310

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44388727

Points: 4

# Comments: 2

Comments URL: https://news.ycombinator.com/item?id=44380822

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44377757

Points: 4

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44247859

Points: 1

# Comments: 0

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1]: https://roboflow.com/?ref=whoishiring0625

[2]: https://roboflow.com/universe?ref=whoishiring0625

[3]: https://github.com/roboflow/rf-detr

[4]: https://github.com/roboflow/supervision

[5]: https://blog.roboflow.com/?ref=whoishiring0625

[6]: https://www.youtube.com/@Roboflow

[7]: https://blog.roboflow.com/series-b/

Comments URL: https://news.ycombinator.com/item?id=44160412

Points: 1

# Comments: 0

Subscribe Openly takes a web feed URL and creates a pretty page with direct links to several web readers (suggestions of more to add are welcome) [1].

You can then link to this page instead of directly to an XML link. As a fallback, the XML link will appear on the Subscribe Openly page.

I hope web readers become more integrated with browsers again, but for now I'm sure there are still things we can do to improve the experience of encountering feed links. [2]

The code is open source: https:// github.com/capjamesg/subscribe-openly/

[1]: Example: https://subscribeopenly.net/subscribe/?url=https://jamesg.bl...

Comments URL: https://news.ycombinator.com/item?id=44160226

Points: 1

# Comments: 0

On the one end of the evaluation spectrum, we have vibe checks which, while useful for building intuition, are time-consuming to run across a dozen or more models. On the other end, we have large benchmarks which are so large that they are intractable to most users.

Vision AI Checkup is a new tool for evaluating VLMs. The site is made up of hand-crafted prompts focused on real-world problems: defect detection, understanding how the position of one object relates to another, colour understanding, and more.

Our prompts are especially focused on industrial tasks -- serial number reading, assembly line understanding, and more -- although we're excited to add more general prompts.

The tool lets you see how models do across categories of prompts, and how different models do on a single prompt.

We have open sourced the codebase, with instructions on how to add a prompt to the assessment: https://github.com/roboflow/vision-ai-checkup. You can also add new models.

We'd love feedback and, also, ideas for areas where VLMs struggle that you'd like to see assessed!

Comments URL: https://news.ycombinator.com/item?id=43971984

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=43935085

Points: 1

# Comments: 0

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1]: https://roboflow.com/?ref=whoishiring0425

[2]: https://roboflow.com/universe?ref=whoishiring0425

[3]: https://github.com/autodistill/autodistill

[4]: https://github.com/roboflow/supervision

[5]: https://blog.roboflow.com/?ref=whoishiring0425

[6]: https://www.youtube.com/@Roboflow

[7]: https://blog.roboflow.com/series-b/

RF-DETR-large is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark [1] and achieve strong speeds compared to other models at the base size. On an NVIDIA T4 GPU, RF-DETR-Base achieves 160 FPS.

RF-DETR is designed to transfer well to identify real-world objects that aren’t usually found in common training datasets, such as those found in industrial environments, wildlife settings, lab images, thermal, and novel research areas. This is measured using the new RF100-VL benchmark [2] developed in partnership with researchers from CMU.

If you try out the model, let us know! We have a fine-tuning guide to get you started with training models. [3]

[1]: https://cocodataset.org

[2]: https://github.com/roboflow/rf100-vl

[3]: https://blog.roboflow.com/train-rf-detr-on-a-custom-dataset/

Comments URL: https://news.ycombinator.com/item?id=43435194

Points: 2

# Comments: 0