Object Recognizer - TensorFlow

Developer: RandomAppsInc

Category: Libraries & Demo

793 installs

Ratings not yet available

ASO Keyword Dashboard

Tracking 30 keywords for Object Recognizer - TensorFlow in Google Play

Developer: RandomAppsInc Category: libraries_and_demo

Object Recognizer - TensorFlow tracks 30 keywords (no keywords rank yet; 30 need traction). Key metrics: opportunity 69.3, difficulty 54.4.

Machine learning demo app that recognizes objects in images with TensorFlow

Tracked keywords

0 ranked • 30 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

69.3

Top keyword: accuracy

Avg difficulty

54.4

Lower scores indicate easier wins

Opportunity leaders

accuracy

Opportunity: 72.0 • Difficulty: 44.2 • Rank —

Competitors: 591
64.8
objects

Opportunity: 72.0 • Difficulty: 59.4 • Rank —

Competitors: 1,222
66.4
upload

Opportunity: 72.0 • Difficulty: 63.8 • Rank —

Competitors: 1,585
71.1
model

Opportunity: 72.0 • Difficulty: 48.1 • Rank —

Competitors: 800
66.0
machine

Opportunity: 72.0 • Difficulty: 50.5 • Rank —

Competitors: 1,165
66.0

Unranked opportunities

accuracy

Opportunity: 72.0 • Difficulty: 44.2 • Competitors: 591
objects

Opportunity: 72.0 • Difficulty: 59.4 • Competitors: 1,222
upload

Opportunity: 72.0 • Difficulty: 63.8 • Competitors: 1,585
model

Opportunity: 72.0 • Difficulty: 48.1 • Competitors: 800
machine

Opportunity: 72.0 • Difficulty: 50.5 • Competitors: 1,165

High competition keywords

time

Total apps: 170,577 • Major competitors: 19,592

Latest rank: — • Difficulty: 64.6
find

Total apps: 143,808 • Major competitors: 16,874

Latest rank: — • Difficulty: 65.1
play

Total apps: 113,236 • Major competitors: 19,366

Latest rank: — • Difficulty: 67.3
via

Total apps: 54,601 • Major competitors: 5,243

Latest rank: — • Difficulty: 58.5
around

Total apps: 47,754 • Major competitors: 6,815

Latest rank: — • Difficulty: 67.7

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
play	65	100	67	86 113,236 competing apps Median installs: 62,750 Avg rating: 3.2	—	—	19,366 major competitor apps
via	68	100	58	81 54,601 competing apps Median installs: 29,805 Avg rating: 2.7	—	—	5,243 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
image	70	100	54	76 27,195 competing apps Median installs: 35,290 Avg rating: 2.8	—	—	3,073 major competitor apps
file	71	100	68	71 15,285 competing apps Median installs: 52,889 Avg rating: 3.0	—	—	2,239 major competitor apps
working	71	100	56	73 18,347 competing apps Median installs: 30,163 Avg rating: 2.8	—	—	1,742 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
time	64	100	65	89 170,577 competing apps Median installs: 33,133 Avg rating: 2.9	—	—	19,592 major competitor apps
basic	71	100	53	73 18,440 competing apps Median installs: 33,512 Avg rating: 2.8	—	—	1,756 major competitor apps
code	71	100	53	73 19,267 competing apps Median installs: 32,705 Avg rating: 2.7	—	—	2,141 major competitor apps
around	68	100	68	80 47,754 competing apps Median installs: 40,524 Avg rating: 3.0	—	—	6,815 major competitor apps
camera	71	100	65	74 20,516 competing apps Median installs: 56,900 Avg rating: 2.9	—	—	3,286 major competitor apps
accuracy	72	100	44	65 6,215 competing apps Median installs: 31,033 Avg rating: 2.9	—	—	591 major competitor apps
objects	72	100	59	66 7,654 competing apps Median installs: 59,201 Avg rating: 3.3	—	—	1,222 major competitor apps
local	70	100	59	76 28,377 competing apps Median installs: 26,545 Avg rating: 2.9	—	—	2,999 major competitor apps
learning	69	100	55	79 39,721 competing apps Median installs: 25,217 Avg rating: 2.6	—	—	2,972 major competitor apps
upload	72	100	64	71 14,413 competing apps Median installs: 29,951 Avg rating: 2.8	—	—	1,585 major competitor apps
well	68	100	54	80 46,736 competing apps Median installs: 30,414 Avg rating: 2.7	—	—	4,373 major competitor apps
model	72	100	48	66 7,242 competing apps Median installs: 38,887 Avg rating: 2.7	—	—	800 major competitor apps
able	69	100	54	78 35,901 competing apps Median installs: 32,096 Avg rating: 2.8	—	—	3,585 major competitor apps
works	69	100	55	78 34,641 competing apps Median installs: 33,317 Avg rating: 2.8	—	—	3,220 major competitor apps
machine	72	100	51	66 7,315 competing apps Median installs: 47,862 Avg rating: 3.0	—	—	1,165 major competitor apps
analyze	72	100	48	66 7,439 competing apps Median installs: 31,080 Avg rating: 2.9	—	—	731 major competitor apps
took	70	100	40	57 2,025 competing apps Median installs: 31,859 Avg rating: 2.7	—	—	189 major competitor apps
recognizes	70	100	52	52 1,050 competing apps Median installs: 35,772 Avg rating: 2.9	—	—	128 major competitor apps

App Description

Machine learning demo app that recognizes objects in images with TensorFlow

Machine learning is cool, so I took some time to play around with it via TensorFlow. I was able to get this slick demo app working where you can upload an image via your camera or file picker and analyze it. The model is local and basic, so the accuracy isn't great, but it works decently well with basic objects. Have fun!

This app is open-source! You can find the code at:

About AppGoblin | Privacy Policy | GitHub | LinkedIn | Contact