Symbols teaching

Mausr uses neural network to do the symbols recognition. The neural network needs to be teched the symbols in order to do the recognition well. The more symbols it teaches teach the better the recognition can be. If you have some spare time and would like to help to teach the neural network some symbols feel free to do so below. Thank you.

Instructions

  1. Try to draw symbols as you would draw them when you want to search for them. For example, filled shapes does not need to be filled, just outline is fine. Complicated shapes like snow flakes can be simplified.
  2. Draw the shown symbols with your personal hand writing. For example you draw Greek letters little differently than they are shown. You can use skip button if you are not sure how to draw a symbol.
  3. Drawings does not have to be perfect but please do not submit particuraly ugly drawings. Clear the canvas and draw the symbol again.
  4. Relative size and position of drawn symbols within the canvas does not matter (much).

Training options

10 random symbols

Est time: less than a minute

50 random symbols

Est time: three to four minutes

All 110 symbols

Est time: around 7.3 minutes

Available symbols

Γ, Δ, Θ, Λ, Ξ, Π, Σ, Φ, Ψ, Ω, α, β, γ, δ, ε, ζ, η, θ, ι, κ, λ, μ, ν, ξ, ο, π, ρ, ς, σ, τ, υ, φ, χ, ψ, ω, ϑ, ϕ, –, —, †, ‡, ‰, ‱, ♥, ★, ✰, ✓, ✗, ←, ↑, →, ↓, ↔, ↕, ⇐, ⇒, ±, °, ×, ÷, ©, ®, ™, ‹, ›, «, », €, £, ¥, ∀, ∂, ∃, ∄, ∅, ∆, ∇, ∈, ∉, ∎, ∘, ∙, √, ∞, ∠, ∡, ∤, ∧, ∨, ∩, ∪, ∫, ≃, ≄, ≈, ≠, ≡, ≤, ≥, ⌘, ☹, ☺, ℂ, ℕ, ℚ, ℝ, ℤ, ❄, ❅, ❆