@TechSpatiales@yaoki_space_g@yaoki_space 6. The linear patterns on the crater floor that you identified. Can they be also seen in the lander image?
7. Some bright pixels. Dust or radiation strikes on the sensor?
8. Eye-pleasing picture for posterity: that combines processing for the dark and bright regions
🙏🙏
4/N=4
@TechSpatiales@yaoki_space_g@yaoki_space 4. On the bottom left side: what is this bright linear feature? Could it be another broken lander leg?
5. Brightly lit edge of the crater (top left): can any features be recognized? Any correspondance with the picture taken by the lander? (reference https://t.co/7WNjTWaigc)
3/N
@yaoki_space_g@yaoki_space#WhatDidYaokiSee I've made some tests on my side, just a quick and dirty draft for now.
What kind of improvements/features would you like to highlight ?
The dataset and notebooks are also available on Kaggle
easy to get started with example code and feel free to ask questions in the discussion page there directly too!
https://t.co/HD4zxHuQFh
#WhatYaokiSee
challenge update: due to popular demand, we are now also releasing the raw images in the YUV422 format: exactly as the yaoki rover sent them from the Moon. Using this raw format can allow for better processing: to see what Yaoki saw in the lunar crater!
Challengers Wanted!
What did YAOKI see in the crater? We’re releasing all raw images for free! Analyze them and share your findings with #WhatYaokiSee#YAOKI
Details here 🔗
https://t.co/P3NGFl6Et7
@hello_offworld is excited to announce is has joined Team L3 for the Phase 2 of the @NASA Space Robotics Challenge!
https://t.co/9lO3kTNBI2 brings to the table #MachineLearning techniques to enhance L3’s already proven architecture as a finalist of the previous Phase of the SRC.
The finalists have been selected in the Space Robotics Challenge Phase 2, presented by @bhp. Get to know the 22 teams who will be competing in the next round of this innovative robotics challenge: https://t.co/oX0W4T0euE @NASAPrize