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 69.6, difficulty 50.8.
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
69.6
Top keyword: currently
Avg difficulty
50.8
Lower scores indicate easier wins
Opportunity leaders
- 68.3
currently
Opportunity: 73.0 • Difficulty: 50.8 • Rank —
Competitors: 877
- 68.0
human
Opportunity: 73.0 • Difficulty: 44.9 • Rank —
Competitors: 717
- 68.1
places
Opportunity: 73.0 • Difficulty: 59.5 • Rank —
Competitors: 1,096
- 67.9
similar
Opportunity: 73.0 • Difficulty: 65.4 • Rank —
Competitors: 1,267
- 70.5
character
Opportunity: 72.0 • Difficulty: 51.6 • Rank —
Competitors: 2,166
Unranked opportunities
currently
Opportunity: 73.0 • Difficulty: 50.8 • Competitors: 877
human
Opportunity: 73.0 • Difficulty: 44.9 • Competitors: 717
places
Opportunity: 73.0 • Difficulty: 59.5 • Competitors: 1,096
similar
Opportunity: 73.0 • Difficulty: 65.4 • Competitors: 1,267
character
Opportunity: 72.0 • Difficulty: 51.6 • Competitors: 2,166
High competition keywords
new
Total apps: 193,474 • Major competitors: 25,823
Latest rank: — • Difficulty: 65.7
make
Total apps: 163,352 • Major competitors: 21,922
Latest rank: — • Difficulty: 65.0
find
Total apps: 143,808 • Major competitors: 16,874
Latest rank: — • Difficulty: 65.1
using
Total apps: 114,758 • Major competitors: 13,323
Latest rank: — • Difficulty: 64.0
mobile
Total apps: 113,294 • Major competitors: 10,537
Latest rank: — • Difficulty: 60.5
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| new | 64 | 100 | 66 | 90 193,474 competing apps Median installs: 42,470 Avg rating: 3.0 | — | — | 25,823 major competitor apps |
| character | 72 | 100 | 52 | 70 13,287 competing apps Median installs: 65,694 Avg rating: 3.1 | — | — | 2,166 major competitor apps |
| software | 72 | 100 | 55 | 70 13,182 competing apps Median installs: 24,654 Avg rating: 2.7 | — | — | 1,054 major competitor apps |
| version | 69 | 100 | 61 | 77 30,986 competing apps Median installs: 38,306 Avg rating: 3.1 | — | — | 3,300 major competitor apps |
| make | 64 | 100 | 65 | 89 163,352 competing apps Median installs: 42,108 Avg rating: 3.0 | — | — | 21,922 major competitor apps |
| phone | 67 | 100 | 69 | 83 75,756 competing apps Median installs: 37,780 Avg rating: 3.0 | — | — | 9,010 major competitor apps |
| whether | 67 | 100 | 58 | 83 76,585 competing apps Median installs: 31,919 Avg rating: 2.9 | — | — | 8,596 major competitor apps |
| images | 69 | 100 | 59 | 78 37,077 competing apps Median installs: 30,933 Avg rating: 2.9 | — | — | 3,614 major competitor apps |
| support | 67 | 100 | 60 | 83 68,575 competing apps Median installs: 34,249 Avg rating: 3.0 | — | — | 7,371 major competitor apps |
| users | 67 | 100 | 60 | 82 59,104 competing apps Median installs: 30,976 Avg rating: 2.8 | — | — | 6,026 major competitor apps |
| place | 69 | 100 | 57 | 78 37,575 competing apps Median installs: 32,284 Avg rating: 2.9 | — | — | 4,364 major competitor apps |
| range | 69 | 100 | 53 | 78 37,225 competing apps Median installs: 32,979 Avg rating: 2.8 | — | — | 4,354 major competitor apps |
| within | 68 | 100 | 56 | 80 45,953 competing apps Median installs: 29,549 Avg rating: 2.8 | — | — | 4,617 major competitor apps |
| information | 66 | 100 | 59 | 86 101,893 competing apps Median installs: 23,675 Avg rating: 2.6 | — | — | 7,805 major competitor apps |
| used | 67 | 100 | 61 | 82 61,233 competing apps Median installs: 32,225 Avg rating: 2.8 | — | — | 5,711 major competitor apps |
| image | 70 | 100 | 54 | 76 27,195 competing apps Median installs: 35,290 Avg rating: 2.8 | — | — | 3,073 major competitor apps |
| content | 68 | 100 | 64 | 81 56,908 competing apps Median installs: 30,274 Avg rating: 2.8 | — | — | 5,627 major competitor apps |
| people | 68 | 100 | 60 | 80 49,228 competing apps Median installs: 35,592 Avg rating: 2.8 | — | — | 5,524 major competitor apps |
| way | 66 | 100 | 61 | 85 89,339 competing apps Median installs: 36,402 Avg rating: 3.0 | — | — | 10,854 major competitor apps |
| immediately | 72 | 100 | 45 | 70 11,872 competing apps Median installs: 32,552 Avg rating: 2.5 | — | — | 1,118 major competitor apps |
| using | 65 | 100 | 64 | 86 114,758 competing apps Median installs: 37,480 Avg rating: 2.8 | — | — | 13,323 major competitor apps |
| find | 65 | 100 | 65 | 88 143,808 competing apps Median installs: 36,002 Avg rating: 3.0 | — | — | 16,874 major competitor apps |
| mobile | 65 | 100 | 60 | 86 113,294 competing apps Median installs: 25,796 Avg rating: 2.8 | — | — | 10,537 major competitor apps |
| variety | 68 | 100 | 57 | 80 49,032 competing apps Median installs: 47,792 Avg rating: 3.0 | — | — | 7,236 major competitor apps |
| key | 68 | 100 | 57 | 79 40,681 competing apps Median installs: 35,653 Avg rating: 3.0 | — | — | 4,828 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