Question/Issue:
Facing problem with labeled images
Project ID:
684050
Context/Use case:
Thi issue that I am encountering is I am trying to train an object detection model with animals. While doing the labeling and tuining, I found out that the platform is unable to segregate between 2 animals and in “Image” section, ‘feature explorer’ I see a compeletly overlaping issue. So I added a third animal to see if anything changes, but no, still the same. My feature explorer looks kind of all messed up, have a look below. I am not understanding why this is happening.
For one instance I can understand zebra and tiger can be a misleading animals due to the black straps they have, but elephant no chance, it doesn’t have a single common characteristic as the remaining 2 animals.
Please someone guide me on this.
Thankyou
Expected Outcome:
Just want edge impulse to make the segregation of all animals properly.
Actual Outcome:
Not segregating the animals in proper manner, which is leading to improper detection.
Environment:
- OS Version: Windows 10
