Object Recognizer - TensorFlow

Developer: RandomAppsInc

Category: Libraries & Demo

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806 installs

Ratings not yet available

+2.00 weekly installs

+6.00 monthly installs

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 48.2.

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

48.2

Lower scores indicate easier wins

Opportunity leaders

objects

Opportunity: 74.0 • Difficulty: 48.9 • Rank —

Competitors: 1,172
65.7
model

Opportunity: 74.0 • Difficulty: 44.6 • Rank —

Competitors: 835
66.2
machine

Opportunity: 74.0 • Difficulty: 45.7 • Rank —

Competitors: 1,202
65.8
demo

Opportunity: 74.0 • Difficulty: 37.3 • Rank —

Competitors: 209
60.1
accuracy

Opportunity: 73.0 • Difficulty: 42.5 • Rank —

Competitors: 643
66.7

Unranked opportunities

objects

Opportunity: 74.0 • Difficulty: 48.9 • Competitors: 1,172
model

Opportunity: 74.0 • Difficulty: 44.6 • Competitors: 835
machine

Opportunity: 74.0 • Difficulty: 45.7 • Competitors: 1,202
demo

Opportunity: 74.0 • Difficulty: 37.3 • Competitors: 209
accuracy

Opportunity: 73.0 • Difficulty: 42.5 • Competitors: 643

High competition keywords

time

Total apps: 392,268 • Major competitors: 18,179

Latest rank: — • Difficulty: 57.9
find

Total apps: 301,105 • Major competitors: 17,483

Latest rank: — • Difficulty: 58.5
play

Total apps: 201,969 • Major competitors: 20,103

Latest rank: — • Difficulty: 60.0
via

Total apps: 117,628 • Major competitors: 4,704

Latest rank: — • Difficulty: 52.7
learning

Total apps: 101,916 • Major competitors: 3,131

Latest rank: — • Difficulty: 51.3

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
play	66	100	60	85 201,969 competing apps Median installs: 7,518 Avg rating: 2.8	—	—	20,103 major competitor apps
via	68	100	53	81 117,628 competing apps Median installs: 1,772 Avg rating: 2.4	—	—	4,704 major competitor apps
images	69	100	52	78 72,973 competing apps Median installs: 2,846 Avg rating: 2.4	—	—	3,395 major competitor apps
image	70	100	50	76 54,816 competing apps Median installs: 3,447 Avg rating: 2.4	—	—	3,200 major competitor apps
file	72	100	57	71 28,335 competing apps Median installs: 6,208 Avg rating: 2.6	—	—	2,381 major competitor apps
working	70	100	50	74 42,189 competing apps Median installs: 1,824 Avg rating: 2.3	—	—	1,800 major competitor apps
find	65	100	58	87 301,105 competing apps Median installs: 2,814 Avg rating: 2.6	—	—	17,483 major competitor apps
time	64	100	58	89 392,268 competing apps Median installs: 1,395 Avg rating: 2.4	—	—	18,179 major competitor apps
basic	71	100	49	73 37,234 competing apps Median installs: 3,566 Avg rating: 2.4	—	—	1,849 major competitor apps
code	70	100	49	74 43,340 competing apps Median installs: 1,968 Avg rating: 2.3	—	—	2,201 major competitor apps
around	68	100	57	79 89,952 competing apps Median installs: 3,474 Avg rating: 2.6	—	—	6,393 major competitor apps
camera	71	100	56	73 36,680 competing apps Median installs: 6,895 Avg rating: 2.6	—	—	3,441 major competitor apps
accuracy	73	100	43	67 15,301 competing apps Median installs: 1,623 Avg rating: 2.4	—	—	643 major competitor apps
objects	74	100	49	66 13,182 competing apps Median installs: 6,576 Avg rating: 2.9	—	—	1,172 major competitor apps
local	69	100	52	78 80,096 competing apps Median installs: 917 Avg rating: 2.4	—	—	3,144 major competitor apps
learning	68	100	51	80 101,916 competing apps Median installs: 1,273 Avg rating: 2.2	—	—	3,131 major competitor apps
upload	71	100	53	72 34,857 competing apps Median installs: 1,694 Avg rating: 2.3	—	—	1,688 major competitor apps
well	68	100	50	79 93,014 competing apps Median installs: 2,521 Avg rating: 2.4	—	—	4,037 major competitor apps
model	74	100	45	66 14,230 competing apps Median installs: 3,896 Avg rating: 2.4	—	—	835 major competitor apps
able	69	100	50	78 76,737 competing apps Median installs: 2,125 Avg rating: 2.4	—	—	3,588 major competitor apps
works	69	100	50	77 67,506 competing apps Median installs: 3,022 Avg rating: 2.4	—	—	2,986 major competitor apps
machine	74	100	46	66 13,405 competing apps Median installs: 5,596 Avg rating: 2.6	—	—	1,202 major competitor apps
analyze	73	100	45	68 19,107 competing apps Median installs: 1,400 Avg rating: 2.5	—	—	787 major competitor apps
took	73	100	37	57 3,727 competing apps Median installs: 3,590 Avg rating: 2.4	—	—	176 major competitor apps
recognizes	72	100	41	53 2,142 competing apps Median installs: 2,386 Avg rating: 2.5	—	—	122 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:

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