SentiSight.ai
ASO Keyword Dashboard
Tracking 109 keywords for SentiSight.ai in Google Play
SentiSight.ai tracks 109 keywords (no keywords rank yet; 109 need traction). Key metrics: opportunity 70.5, difficulty 45.3.
Recognize objects in images taken by your phone camera
Tracked keywords
109
0 ranked • 109 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.5
Top keyword: sorted
Avg difficulty
45.3
Lower scores indicate easier wins
Opportunity leaders
- 61.3
sorted
Opportunity: 74.0 • Difficulty: 40.3 • Rank —
Competitors: 194
- 64.8
contain
Opportunity: 74.0 • Difficulty: 48.6 • Rank —
Competitors: 580
- 65.8
developer
Opportunity: 74.0 • Difficulty: 41.1 • Rank —
Competitors: 562
- 65.7
objects
Opportunity: 74.0 • Difficulty: 48.9 • Rank —
Competitors: 1,172
- 62.7
object
Opportunity: 74.0 • Difficulty: 42.3 • Rank —
Competitors: 667
Unranked opportunities
sorted
Opportunity: 74.0 • Difficulty: 40.3 • Competitors: 194
contain
Opportunity: 74.0 • Difficulty: 48.6 • Competitors: 580
developer
Opportunity: 74.0 • Difficulty: 41.1 • Competitors: 562
objects
Opportunity: 74.0 • Difficulty: 48.9 • Competitors: 1,172
object
Opportunity: 74.0 • Difficulty: 42.3 • Competitors: 667
High competition keywords
new
Total apps: 376,111 • Major competitors: 24,048
Latest rank: — • Difficulty: 58.8
make
Total apps: 331,214 • Major competitors: 20,580
Latest rank: — • Difficulty: 57.9
find
Total apps: 301,136 • Major competitors: 17,487
Latest rank: — • Difficulty: 58.5
mobile
Total apps: 279,033 • Major competitors: 10,999
Latest rank: — • Difficulty: 55.8
information
Total apps: 263,219 • Major competitors: 8,108
Latest rank: — • Difficulty: 54.8
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| new | 64 | 100 | 59 | 89 376,111 competing apps Median installs: 2,970 Avg rating: 2.6 | — | — | 24,048 major competitor apps |
| character | 72 | 100 | 47 | 70 23,574 competing apps Median installs: 8,476 Avg rating: 2.7 | — | — | 2,276 major competitor apps |
| software | 71 | 100 | 49 | 72 31,121 competing apps Median installs: 1,576 Avg rating: 2.2 | — | — | 1,103 major competitor apps |
| version | 70 | 100 | 54 | 76 56,297 competing apps Median installs: 4,992 Avg rating: 2.7 | — | — | 3,362 major competitor apps |
| make | 65 | 100 | 58 | 88 331,214 competing apps Median installs: 2,457 Avg rating: 2.5 | — | — | 20,580 major competitor apps |
| phone | 67 | 100 | 60 | 83 149,963 competing apps Median installs: 3,589 Avg rating: 2.6 | — | — | 9,361 major competitor apps |
| whether | 66 | 100 | 53 | 84 195,617 competing apps Median installs: 936 Avg rating: 2.3 | — | — | 7,867 major competitor apps |
| images | 69 | 100 | 52 | 78 72,943 competing apps Median installs: 2,846 Avg rating: 2.4 | — | — | 3,394 major competitor apps |
| support | 67 | 100 | 55 | 83 163,348 competing apps Median installs: 1,635 Avg rating: 2.6 | — | — | 7,845 major competitor apps |
| users | 67 | 100 | 53 | 82 138,014 competing apps Median installs: 1,359 Avg rating: 2.3 | — | — | 5,541 major competitor apps |
| place | 68 | 100 | 52 | 80 97,911 competing apps Median installs: 1,091 Avg rating: 2.4 | — | — | 4,537 major competitor apps |
| range | 68 | 100 | 50 | 79 89,234 competing apps Median installs: 1,450 Avg rating: 2.4 | — | — | 4,535 major competitor apps |
| within | 68 | 100 | 51 | 80 104,142 competing apps Median installs: 1,494 Avg rating: 2.3 | — | — | 4,185 major competitor apps |
| information | 65 | 100 | 55 | 86 263,219 competing apps Median installs: 1,198 Avg rating: 2.2 | — | — | 8,108 major competitor apps |
| used | 68 | 100 | 55 | 81 117,424 competing apps Median installs: 3,080 Avg rating: 2.4 | — | — | 5,254 major competitor apps |
| image | 70 | 100 | 50 | 76 54,817 competing apps Median installs: 3,444 Avg rating: 2.4 | — | — | 3,200 major competitor apps |
| content | 67 | 100 | 56 | 81 127,411 competing apps Median installs: 2,357 Avg rating: 2.4 | — | — | 6,016 major competitor apps |
| people | 68 | 100 | 54 | 80 101,489 competing apps Median installs: 2,976 Avg rating: 2.5 | — | — | 5,705 major competitor apps |
| way | 66 | 100 | 56 | 85 202,235 competing apps Median installs: 1,975 Avg rating: 2.5 | — | — | 11,291 major competitor apps |
| immediately | 72 | 100 | 43 | 69 22,586 competing apps Median installs: 3,274 Avg rating: 2.2 | — | — | 1,008 major competitor apps |
| using | 66 | 100 | 57 | 85 225,139 competing apps Median installs: 2,824 Avg rating: 2.5 | — | — | 12,393 major competitor apps |
| find | 65 | 100 | 58 | 87 301,136 competing apps Median installs: 2,814 Avg rating: 2.6 | — | — | 17,487 major competitor apps |
| mobile | 65 | 100 | 56 | 87 279,033 competing apps Median installs: 1,396 Avg rating: 2.4 | — | — | 10,999 major competitor apps |
| variety | 68 | 100 | 52 | 80 96,924 competing apps Median installs: 3,667 Avg rating: 2.6 | — | — | 7,477 major competitor apps |
| key | 68 | 100 | 52 | 80 110,876 competing apps Median installs: 1,497 Avg rating: 2.5 | — | — | 5,569 major competitor apps |
App Description
Recognize objects in images taken by your phone camera
On the app, users can immediately make predictions using a range of ready-to-use pre-trained models:
General Classification—. Use the General Classification pre-trained model to identify the content of your image. Classification is one of the primary uses of image recognition AI
General Object Detection—Using the pre-trained general object detection model allows users to identify what objects are in your image, along with the location of the object within the image.
Places Classification— Use the Places Classification pre-trained model to identify the place depicted in your image. The model provides a predicted score percentage.
NSFW Classification—The NSFW classification model can be used to detect whether images contain nudity or not. The model provides a prediction of whether the image is safe or unsafe, by way of a predicted score percentage.
Optical Character Recognition—The optical character recognition (OCR) pre-trained model can be used to detect and identify text within your image, and is supported for a wide variety of languages.
Pose Estimation—The pose estimation model can be used to detect the poses of people in the image. It detects 15 joints and key points of the human body.
Image Similarity Search—an image similarity search model is used to find visually similar images to one that is uploaded. The retrieved images are sorted by their similarity score.
With the SentiSight.ai mobile app, users can also make predictions using the custom models that have been trained using the SentiSight.ai web interface.
The app uses the same login credentials as the web version of SentiSight.ai.
The app does not currently support the training of new models itself, but the mobile app can be used to upload images to your projects that can be later used for training custom models.
The SentiSight.ai mobile app and web platform are developed by Neurotechnology. Neurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. For more information about the company, please, visit the company’s website https://neurot