Object Recognizer - TensorFlow

Developer: RandomAppsInc

Category: Libraries & Demo

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809 installs

Ratings not yet available

+3.00 weekly installs

trend steady

+5.00 monthly installs

trend steady

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 70.2, difficulty 48.3.

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

70.2

Top keyword: objects

Avg difficulty

48.3

Lower scores indicate easier wins

Opportunity leaders

objects

Opportunity: 74.0 • Difficulty: 48.9 • Rank —

Competitors: 1,163
65.6
machine

Opportunity: 74.0 • Difficulty: 45.8 • Rank —

Competitors: 1,216
65.9
demo

Opportunity: 74.0 • Difficulty: 37.4 • Rank —

Competitors: 210
60.1
accuracy

Opportunity: 73.0 • Difficulty: 42.5 • Rank —

Competitors: 657
66.9
model

Opportunity: 73.0 • Difficulty: 44.6 • Rank —

Competitors: 836
66.3

Unranked opportunities

objects

Opportunity: 74.0 • Difficulty: 48.9 • Competitors: 1,163
machine

Opportunity: 74.0 • Difficulty: 45.8 • Competitors: 1,216
demo

Opportunity: 74.0 • Difficulty: 37.4 • Competitors: 210
accuracy

Opportunity: 73.0 • Difficulty: 42.5 • Competitors: 657
model

Opportunity: 73.0 • Difficulty: 44.6 • Competitors: 836

High competition keywords

time

Total apps: 386,869 • Major competitors: 17,901

Latest rank: — • Difficulty: 57.8
find

Total apps: 305,380 • Major competitors: 17,623

Latest rank: — • Difficulty: 58.5
play

Total apps: 205,447 • Major competitors: 20,225

Latest rank: — • Difficulty: 60.0
via

Total apps: 116,643 • Major competitors: 4,605

Latest rank: — • Difficulty: 52.6
learning

Total apps: 103,601 • Major competitors: 3,171

Latest rank: — • Difficulty: 51.3

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
play	66	100	60	85 205,447 competing apps Median installs: 7,468 Avg rating: 2.8	—	—	20,225 major competitor apps
via	68	100	53	81 116,643 competing apps Median installs: 1,873 Avg rating: 2.4	—	—	4,605 major competitor apps
images	69	100	52	77 72,380 competing apps Median installs: 2,976 Avg rating: 2.4	—	—	3,349 major competitor apps
image	70	100	50	76 55,547 competing apps Median installs: 3,507 Avg rating: 2.4	—	—	3,241 major competitor apps
file	72	100	57	71 28,830 competing apps Median installs: 6,320 Avg rating: 2.6	—	—	2,418 major competitor apps
working	70	100	50	74 42,761 competing apps Median installs: 1,855 Avg rating: 2.3	—	—	1,818 major competitor apps
find	65	100	59	87 305,380 competing apps Median installs: 2,878 Avg rating: 2.6	—	—	17,623 major competitor apps
time	64	100	58	89 386,869 competing apps Median installs: 1,523 Avg rating: 2.4	—	—	17,901 major competitor apps
basic	71	100	49	73 37,983 competing apps Median installs: 3,560 Avg rating: 2.4	—	—	1,874 major competitor apps
code	70	100	49	74 43,975 competing apps Median installs: 2,010 Avg rating: 2.3	—	—	2,204 major competitor apps
around	68	100	57	79 88,866 competing apps Median installs: 3,598 Avg rating: 2.6	—	—	6,312 major competitor apps
camera	71	100	56	73 37,279 competing apps Median installs: 6,923 Avg rating: 2.6	—	—	3,476 major competitor apps
accuracy	73	100	43	67 15,790 competing apps Median installs: 1,638 Avg rating: 2.4	—	—	657 major competitor apps
objects	74	100	49	66 13,090 competing apps Median installs: 6,792 Avg rating: 2.9	—	—	1,163 major competitor apps
local	69	100	52	78 83,564 competing apps Median installs: 864 Avg rating: 2.4	—	—	3,185 major competitor apps
learning	68	100	51	80 103,601 competing apps Median installs: 1,316 Avg rating: 2.2	—	—	3,171 major competitor apps
upload	71	100	53	73 35,643 competing apps Median installs: 1,737 Avg rating: 2.3	—	—	1,718 major competitor apps
well	68	100	50	79 92,427 competing apps Median installs: 2,593 Avg rating: 2.4	—	—	3,962 major competitor apps
model	73	100	45	66 14,454 competing apps Median installs: 3,895 Avg rating: 2.4	—	—	836 major competitor apps
able	69	100	50	78 76,947 competing apps Median installs: 2,167 Avg rating: 2.4	—	—	3,589 major competitor apps
works	69	100	50	77 66,696 competing apps Median installs: 3,213 Avg rating: 2.4	—	—	2,940 major competitor apps
machine	74	100	46	66 13,648 competing apps Median installs: 5,562 Avg rating: 2.6	—	—	1,216 major competitor apps
analyze	73	100	45	68 19,679 competing apps Median installs: 1,471 Avg rating: 2.5	—	—	803 major competitor apps
took	73	100	37	57 3,703 competing apps Median installs: 3,627 Avg rating: 2.3	—	—	173 major competitor apps
recognizes	72	100	41	53 2,109 competing apps Median installs: 2,470 Avg rating: 2.5	—	—	119 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: