ฝัง
- เผยแพร่เมื่อ 20 ก.ย. 2024
- 💡 GeoAI Bytes are regular live streaming sessions sharing industry observations, tech tutorials, ML models based on current events, and more!
🔴 For this week's session, join Dan Rushton as he shares just how easy it has become for anyone to build a powerful AI model and detect objects within satellite, drone, or aerial imagery. In just 20 minutes Dan will show how to go from your original source imagery to detecting at scale without installing a single library or writing a line of code.
Wow, you people really love tennis or whatever that is. I look forward to trying this out in the future, looks like it could be very useful. Thanks for the demo. Edit: "In this case we're not interested in tennis courts." Now I'm embarrassed. Did you call it paddle pitch? Is that really England? As intriguing as the software. Which is still very cool.
Would it be accurate to say that your solution remains the most user-friendly detector in terms of UI and its no-code approach to operation? Additionally, does Picterra view any products as strong competitors in the user-friendly detector space? If so, what key advantages set Picterra apart from these competitors?