Jacob Solawetz
@JacobSolawetz
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Machine Learning @ Roboflow - building tools and knowledge artifacts help practitioners solve computer vision. Previously quant trading, NLP research.
Joined April 2019
RT @hiamitabha: An example of using @roboflow Inference API. Here is a demo of our Vector being able to recognize….
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🚨Webinar Inbound: Come check out some really cool technology with @MarisaDataNerd I this Wednesday at 10AM CT. We will be showcasing how you can use Roboflow + Streamlit to deploy computer vision applications in the web browser. Register for free here:
lu.ma
Check out the perfect pair - Roboflow and Streamlit take your machine learning app to the next level. Join our webinar to find out how on September 15th at 10…
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Following up our recent work on zero-shot object tracking - we (@MadeWithStone @braddwyer) posted a guide here on how to do object tracking, eliminates labeling your tracks and training another model
blog.roboflow.com
This post is a comprehensive guide on how to implement object tracking with your object detection model to track your custom objects
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RT @roboflow: Excited to see our partner Rex at LEDA teaching a class about Roboflow in Taiwan 🇹🇼!. ➡ Anyone, anywhere can create a free pu….
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I've been waiting for someone to try this! Image patch level token identities is an interesting way to capture it. Would be interesting to see something on the granularity of image patches, down to pixels - maybe on micro model.
arxiv.org
We introduce a self-supervised vision representation model BEiT, which stands for Bidirectional Encoder representation from Image Transformers. Following BERT developed in the natural language...
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RT @braddwyer: Zero-Shot Object Tracking: we added @OpenAI's CLIP as the feature extractor for Deep SORT to create a general-purpose object….
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