MLFotoFun

Category: Entertainment

ASO Keyword Dashboard

Tracking 51 keywords for MLFotoFun in Apple App Store

Developer: Joao Frasco Category: entertainment

MLFotoFun tracks 51 keywords (2 keywords rank; 49 need traction). Key metrics: 0% top-10 coverage, opportunity 70.8, difficulty 39.7, best rank 54.

Tracked keywords

2 ranked • 49 not ranking yet

Top 10 coverage

Best rank 54 • Latest leader —

Avg opportunity

70.8

Top keyword: age

Avg difficulty

39.7

Lower scores indicate easier wins

Opportunity leaders

age

Opportunity: 73.0 • Difficulty: 42.6 • Rank —

Competitors: 269
66.4
entertainment

Opportunity: 73.0 • Difficulty: 43.6 • Rank —

Competitors: 377
67.7
positive

Opportunity: 73.0 • Difficulty: 40.9 • Rank —

Competitors: 158
66.7
category

Opportunity: 73.0 • Difficulty: 41.7 • Rank —

Competitors: 124
65.1
taken

Opportunity: 73.0 • Difficulty: 39.3 • Rank —

Competitors: 111
64.5

Unranked opportunities

age

Opportunity: 73.0 • Difficulty: 42.6 • Competitors: 269
entertainment

Opportunity: 73.0 • Difficulty: 43.6 • Competitors: 377
positive

Opportunity: 73.0 • Difficulty: 40.9 • Competitors: 158
category

Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 124
taken

Opportunity: 73.0 • Difficulty: 39.3 • Competitors: 111

High competition keywords

make

Total apps: 158,439 • Major competitors: 4,110

Latest rank: — • Difficulty: 54.2
using

Total apps: 114,365 • Major competitors: 2,223

Latest rank: — • Difficulty: 52.7
learning

Total apps: 53,916 • Major competitors: 647

Latest rank: — • Difficulty: 48.8
may

Total apps: 51,661 • Major competitors: 1,829

Latest rank: — • Difficulty: 51.7
place

Total apps: 51,158 • Major competitors: 991

Latest rank: — • Difficulty: 49.3

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
classification	70	100	31	51 1,120 competing apps Median installs: 350 Avg rating: 4.1	54	54	9 major competitor apps
machine learning	71	100	34	54 1,657 competing apps Median installs: 300 Avg rating: 4.2	106	102	30 major competitor apps
art	71	100	46	73 25,522 competing apps Median installs: 500 Avg rating: 4.2	—	—	605 major competitor apps
library	71	100	47	72 22,714 competing apps Median installs: 500 Avg rating: 4.2	—	—	510 major competitor apps
make	65	100	54	86 158,439 competing apps Median installs: 450 Avg rating: 4.1	—	—	4,110 major competitor apps
place	69	100	49	78 51,158 competing apps Median installs: 400 Avg rating: 4.3	—	—	991 major competitor apps
image	70	100	46	74 27,985 competing apps Median installs: 400 Avg rating: 4.0	—	—	498 major competitor apps
using	66	100	53	84 114,365 competing apps Median installs: 450 Avg rating: 4.1	—	—	2,223 major competitor apps
age	73	100	43	66 9,921 competing apps Median installs: 450 Avg rating: 4.2	—	—	269 major competitor apps
photos	70	100	49	76 37,816 competing apps Median installs: 550 Avg rating: 4.1	—	—	936 major competitor apps
entertainment	73	100	44	68 11,878 competing apps Median installs: 550 Avg rating: 4.1	—	—	377 major competitor apps
camera	70	100	46	74 27,706 competing apps Median installs: 500 Avg rating: 3.9	—	—	624 major competitor apps
includes	70	100	46	75 33,542 competing apps Median installs: 450 Avg rating: 4.1	—	—	545 major competitor apps
probability	70	100	32	51 1,094 competing apps Median installs: 400 Avg rating: 4.2	—	—	17 major competitor apps
two	70	100	46	75 31,332 competing apps Median installs: 500 Avg rating: 4.1	—	—	631 major competitor apps
come	71	100	46	74 26,782 competing apps Median installs: 550 Avg rating: 4.2	—	—	752 major competitor apps
bad	72	100	40	61 4,704 competing apps Median installs: 600 Avg rating: 4.2	—	—	141 major competitor apps
emotions	72	100	36	59 3,346 competing apps Median installs: 400 Avg rating: 4.3	—	—	70 major competitor apps
positive	73	100	41	67 10,226 competing apps Median installs: 350 Avg rating: 4.4	—	—	158 major competitor apps
learning	69	100	49	79 53,916 competing apps Median installs: 300 Avg rating: 4.2	—	—	647 major competitor apps
surprise	72	100	39	62 5,256 competing apps Median installs: 700 Avg rating: 4.2	—	—	180 major competitor apps
category	73	100	42	65 8,237 competing apps Median installs: 300 Avg rating: 4.2	—	—	124 major competitor apps
well	69	100	47	77 43,763 competing apps Median installs: 350 Avg rating: 4.1	—	—	760 major competitor apps
taken	73	100	39	64 7,543 competing apps Median installs: 400 Avg rating: 4.0	—	—	111 major competitor apps
human	73	100	41	67 11,387 competing apps Median installs: 400 Avg rating: 4.2	—	—	175 major competitor apps

App Description

MLFotoFun uses state of the art Machine Learning models that use Convolutional Neural Networks (CNNs) to classify photos taken with your camera or from your library using one of eight state of the art models. The classification includes the two most probable descriptive labels, as well as the probability associated with each label.

The eight models include: AgeNet (that classifies the age of the human subject); GenderNet (that classifies the gender of the subject); CNN Emotions (that classifies the emotion of the person); VisualSentiment (that classifies the human subject's sentiment as positive or negative); Food101 (that classifies the food), Oxford102 (that classifies flowers); CarRecognition (that classifies the make of car); and GoogLeNetPlaces (that classifies the category of place in the image).

This app is for entertainment purposes only, and clearly demonstrates how bad such models can be, as well as the biases that they may contain, so no offence is intended with age or gender classification. It may however also surprise you in how far image recognition has come in the five years.