Inspiration

Inspired by two guys which presented the deforestation challenge

What it does

Our solution makes the segmentation of the satellite images where it detects the forest ares.

How we built it

In core of our model there is SOTA semantic segmentation model Segment Everything (SAM). We fine-tuned our model using LoRA approach, which uses smaller model to optimize SAM for our specific task. It has been trained on over 2500 images.

Challenges we ran into

Understand sustainability market needs

Accomplishments that we're proud of

we developed awesome prototype of potential product which can help companies to comply with EUDR regulations and of course to solve environmental problems

What we learned

Knew a lot about sustainable markets, new approaches to develop working ai model, real world problems usage of our application

What's next for Lesok

sell forest to china :)

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