Dive into the world of deep learning for satellite images with your host, Robin Cole. Robin meets with experts in the field to discuss their research, products, and careers in the space of satellite image deep learning. Stay up to date on the latest trends and advancements in the industry - whether you’re an expert in the field or just starting to learn about satellite image deep learning, this a ... more
Publishes | Weekly | Episodes | 21 | Founded | a year ago |
---|---|---|---|---|---|
Number of Listeners | Categories | TechnologyScience |
In this episode I caught up with Samuel Bancroft to learn about segmenting field boundaries using Segment Anything, aka SAM. SAM is a foundational model for vision released by Meta, which is capable of zero shot segmentation. However there are many o... more
In this episode I caught up with Yotam Azriel to learn about interpretable deep learning. Deep learning models are often criticised for being "black box" due to their complex architectures and large number of parameters. Model interpretability is cru... more
In this episode I caught up with Daniele Rege Cambrin, to learn about Earthquake detection with Sentinel-1 (SAR) images. Daniele has a key role in organising a new competition on this task, SMAC: Seismic Monitoring and Analysis Challenge. The topics ... more
In this episode Robin catches up with Inon Sharony to learn about the fascinating world of machine learning with SAR imagery. The unique attributes of SAR imagery, such as its intensity, phase, and polarisation, provide rich information for deep lear... more
In this episode, Robin catches up up with Alistair Francis and Mikolaj Czerkawski to learn about Major TOM, which is a significant new public dataset of Sentinel 2 imagery. Noteworthy for its immense size at 45 TB, Major TOM also introduces a set of ... more
In this video Robin catches up with Konstantin Klemmer to discus SatClip, which is a new global & general purpose location encoder trained on Sentinel 2 imagery. The conversation covered the training of encoders such as CLIP, and discussed the implic... more
In this episode Robin catches up with James Gallagher to learn about the latest AI innovations reshaping image annotation. The conversation covered significant new models such as Segment Anything, GroundingDINO and RemoteCLIP, and discussed how these... more
In this episode, Robin catches up with Yosef Akhtman to discuss super resolution with satellite imagery. Super resolution is a technique which enables transforming an image with 10m pixels into an image with 1m pixels. While this method has some scep... more
Find out how many people listen to Satellite image deep learning and see how many downloads it gets.
We scanned the web and collated all of the information that we could find in our comprehensive podcast database.
Listen to the audio and view podcast download numbers, contact information, listener demographics and more to help you make better decisions about which podcasts to sponsor or be a guest on.
Listeners, engagement and demographics and more for this podcast.
Listeners per Episode | Gender Skew | Engagement Score | |||
---|---|---|---|---|---|
Primary Location | Social Media Reach |
Rephonic provides a wide range of data for three million podcasts so you can understand how popular each one is. See how many people listen to Satellite image deep learning and access YouTube viewership numbers, download stats, chart rankings, ratings and more.
Simply upgrade your account and use these figures to decide if the show is worth pitching as a guest or sponsor.
There are two ways to find viewership numbers for podcasts on YouTube. First, you can search for the show on the channel and if it has an account, scroll through the videos to see how many views it gets per episode.
Rephonic also pulls the total number of views for each podcast we find a YouTube account for. You can access these figures by upgrading your account and looking at a show's social media section.
Podcast streaming numbers or 'plays' are notoriously tricky to find. Fortunately, Rephonic provides estimated listener figures for Satellite image deep learning and three million other podcasts in our database.
To check these stats and get a feel for the show's audience size, you'll need to upgrade your account.
To see how many followers or subscribers Satellite image deep learning has, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
If it's not, use the search tool to find other podcasts with subscriber numbers that match what you're looking for.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. You can see some of this data for free. But you will need to upgrade your account to access premium data.
Satellite image deep learning launched a year ago and published 21 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contact information for you.
Our systems scan a variety of public sources including the podcast's official website, RSS feed, and email databases to provide you with a trustworthy source of podcast contact information. We also have our own research team on-hand to manually find email addresses if you can't find exactly what you're looking for.
Rephonic pulls reviews for Satellite image deep learning from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
View all the reviews in one place instead of visiting each platform individually and use this information to decide whether this podcast is worth pitching as a guest or sponsor.
You can view podcasts similar to Satellite image deep learning by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.