Mushroom Classification(AI)
ASO Keyword Dashboard
Tracking 45 keywords for Mushroom Classification(AI) in Google Play
Mushroom Classification(AI) tracks 45 keywords (no keywords rank yet; 45 need traction). Key metrics: opportunity 71.4, difficulty 43.5.
DeepMush works with Artificial Intelligence.
Tracked keywords
45
0 ranked • 45 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
71.4
Top keyword: artificial intelligence
Avg difficulty
43.5
Lower scores indicate easier wins
Opportunity leaders
- 61.4
artificial intelligence
Opportunity: 74.0 • Difficulty: 39.0 • Rank —
Competitors: 303
- 64.8
collecting
Opportunity: 74.0 • Difficulty: 43.2 • Rank —
Competitors: 668
- 62.8
structure
Opportunity: 74.0 • Difficulty: 39.3 • Rank —
Competitors: 242
- 66.0
recommend
Opportunity: 74.0 • Difficulty: 42.1 • Rank —
Competitors: 664
- 60.6
responsibility
Opportunity: 74.0 • Difficulty: 39.2 • Rank —
Competitors: 283
Unranked opportunities
artificial intelligence
Opportunity: 74.0 • Difficulty: 39.0 • Competitors: 303
collecting
Opportunity: 74.0 • Difficulty: 43.2 • Competitors: 668
structure
Opportunity: 74.0 • Difficulty: 39.3 • Competitors: 242
recommend
Opportunity: 74.0 • Difficulty: 42.1 • Competitors: 664
responsibility
Opportunity: 74.0 • Difficulty: 39.2 • Competitors: 283
High competition keywords
information
Total apps: 267,605 • Major competitors: 7,566
Latest rank: — • Difficulty: 55.3
using
Total apps: 221,778 • Major competitors: 10,937
Latest rank: — • Difficulty: 57.9
used
Total apps: 116,120 • Major competitors: 4,640
Latest rank: — • Difficulty: 55.5
learning
Total apps: 104,325 • Major competitors: 3,007
Latest rank: — • Difficulty: 51.8
collect
Total apps: 77,613 • Major competitors: 5,815
Latest rank: — • Difficulty: 54.1
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| artificial intelligence | 74 | 100 | 39 | 61 7,206 competing apps Median installs: 1,434 Avg rating: 1.9 | — | — | 303 major competitor apps |
| library | 71 | 100 | 56 | 72 32,404 competing apps Median installs: 1,829 Avg rating: 2.0 | — | — | 1,559 major competitor apps |
| collect | 69 | 100 | 54 | 78 77,613 competing apps Median installs: 3,439 Avg rating: 2.2 | — | — | 5,815 major competitor apps |
| images | 69 | 100 | 54 | 77 72,068 competing apps Median installs: 2,501 Avg rating: 2.0 | — | — | 2,911 major competitor apps |
| information | 65 | 100 | 55 | 86 267,605 competing apps Median installs: 1,023 Avg rating: 1.9 | — | — | 7,566 major competitor apps |
| used | 68 | 100 | 55 | 81 116,120 competing apps Median installs: 2,379 Avg rating: 2.0 | — | — | 4,640 major competitor apps |
| created | 70 | 100 | 48 | 76 55,781 competing apps Median installs: 1,588 Avg rating: 2.0 | — | — | 1,986 major competitor apps |
| using | 66 | 100 | 58 | 85 221,778 competing apps Median installs: 2,281 Avg rating: 2.0 | — | — | 10,937 major competitor apps |
| collected | 73 | 100 | 44 | 68 17,808 competing apps Median installs: 2,848 Avg rating: 1.9 | — | — | 552 major competitor apps |
| collecting | 74 | 100 | 43 | 65 11,775 competing apps Median installs: 2,972 Avg rating: 2.1 | — | — | 668 major competitor apps |
| network | 70 | 100 | 51 | 75 53,424 competing apps Median installs: 2,006 Avg rating: 2.1 | — | — | 2,774 major competitor apps |
| structure | 74 | 100 | 39 | 63 8,751 competing apps Median installs: 1,065 Avg rating: 1.8 | — | — | 242 major competitor apps |
| checking | 73 | 100 | 49 | 67 15,427 competing apps Median installs: 1,952 Avg rating: 2.0 | — | — | 785 major competitor apps |
| accuracy | 73 | 100 | 43 | 67 16,018 competing apps Median installs: 1,310 Avg rating: 1.9 | — | — | 609 major competitor apps |
| according | 70 | 100 | 46 | 74 45,406 competing apps Median installs: 3,270 Avg rating: 2.0 | — | — | 1,872 major competitor apps |
| learning | 68 | 100 | 52 | 80 104,325 competing apps Median installs: 1,118 Avg rating: 1.8 | — | — | 3,007 major competitor apps |
| matter | 71 | 100 | 54 | 71 30,650 competing apps Median installs: 2,445 Avg rating: 2.2 | — | — | 1,706 major competitor apps |
| developed | 70 | 100 | 46 | 75 51,587 competing apps Median installs: 1,094 Avg rating: 1.9 | — | — | 1,243 major competitor apps |
| potential | 72 | 100 | 46 | 71 27,735 competing apps Median installs: 1,090 Avg rating: 1.9 | — | — | 1,022 major competitor apps |
| hazards | 71 | 100 | 69 | 49 1,218 competing apps Median installs: 1,499 Avg rating: 1.9 | — | — | 58 major competitor apps |
| purpose | 73 | 100 | 42 | 68 18,824 competing apps Median installs: 1,504 Avg rating: 1.9 | — | — | 580 major competitor apps |
| thousand | 73 | 100 | 38 | 59 5,056 competing apps Median installs: 5,556 Avg rating: 2.1 | — | — | 260 major competitor apps |
| works | 69 | 100 | 50 | 77 66,294 competing apps Median installs: 2,362 Avg rating: 2.0 | — | — | 2,674 major competitor apps |
| recommend | 74 | 100 | 42 | 66 13,875 competing apps Median installs: 3,607 Avg rating: 2.1 | — | — | 664 major competitor apps |
| responsibility | 74 | 100 | 39 | 61 6,429 competing apps Median installs: 2,849 Avg rating: 2.0 | — | — | 283 major competitor apps |
App Description
DeepMush works with Artificial Intelligence.
DeepMush is an application developed using artificial intelligence. DeepMush was developed using artificial intelligence by collecting approximately twenty thousand images of the most common poisonous and non-poisonous mushrooms in the world. DeepMush's purpose is for INFORMATION purposes only. Collecting and identifying mushrooms is definitely a matter of expertise. According to the information in DeepMush, we do not recommend that you collect or consume mushrooms!
75% accuracy has been achieved in artificial intelligence network training.
WE DO NOT OWN ANY RESPONSIBILITY FOR POTENTIAL HAZARDS AND ERRORS!!
HOW DeepMush WORKS
The application works with Artificial Intelligence. Approximately twenty thousand mushroom images were collected for the application and the Deep Learning network was trained using these images. CNN (Convolutional Neural Network) was used as the network structure and Keras library was used.
ATTENTION
This application is created only for INFORMATION purposes and we do not advise to use it for checking ediblity of products. We do not own any responsibility for potential hazards and errors.
DeepMush's purpose is for INFORMATION purposes only. Collecting and identifying mushrooms is definitely a matter of expertise. According to the information in DeepMush, we do not recommend that you collect or consume mushrooms!