About the API:
Emotion recognition is the process of detecting displayed human emotions using artificial intelligence-based technologies in order to evaluate non-verbal responses to products, services, or goods. Emotion analysis can be carried out using face detection or facial recognition technology which enables programs to “examine” the sentiments on a human face by utilizing sophisticated image dispensation. Facial expressions are generally analyzed by using cameras to detect faces and capture real-time human responses to real-world scenarios. Each facial expression that an individual display causes the facial muscles to move and contract differently, and this makes the process of determining an emotion easier for the deep learning AI algorithms.
You will be passing the image URL that you want to detect the emotions. The response will provide the location of the face that is being analyzed and an emotion percentage from 0.01 to 0.99, were closer to 0.99 means more accurate emotion.
The API will compare between "happy", "sad", "angry", "disgust", "fear", "surprise", and "neutral".
Besides the number of API calls per month:
Recognize any emotions in a given picture with ease.
Just pass the image URL and receive the emotions detected there.
Detect Emotion - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
[{"probability":0.9990027546882629,"rectangle":{"left":177.9499181009829,"top":172.29898417647928,"right":454.37264498770236,"bottom":575.1455794876907},"emotion":{"value":"happy","probability":0.9984017014503479,"sentiments":{"angry":1.9045217413804494e-05,"disgust":6.086859866627492e-05,"fear":5.2635550673585385e-05,"happy":0.9984017014503479,"sad":0.00011563439329620451,"surprise":0.0011431719176471233,"neutral":0.00020686474454123527}}}]
curl --location --request POST 'https://zylalabs.com/api/116/emotion+detection+api/167/detect+emotion' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"url": "https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixid=MXwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHw%3D&ixlib=rb-1.2.1&auto=format&fit=crop&w=668&q=80"
}'
Recognize any emotions in a given picture with ease.
Just pass the image URL and receive the emotions detected there.
Detection Emotion - Endpoint Features
Object | Description |
---|---|
img_url |
[Required] |
{"detections": [{"emotions": {"angry": 7.662818825338036e-05, "sad": 0.021542243659496307, "neutral": 0.957449734210968, "happy": 0.016172140836715698, "disgust": 0.004556640051305294, "surprise": 0.00012322478869464248, "fear": 7.933358574518934e-05}, "crop": {"x1": 0.0921177864074707, "x2": 0.18895521759986877, "y1": 0.5598205327987671, "y2": 0.7282398343086243, "score": 0.9986979961395264}}, {"emotions": {"angry": 0.008768733590841293, "sad": 0.9830912947654724, "neutral": 0.0009531059768050909, "happy": 0.000608281057793647, "disgust": 0.004676091019064188, "surprise": 8.760637865634635e-05, "fear": 0.0018148914678022265}, "crop": {"x1": 0.3410644829273224, "x2": 0.436722069978714, "y1": 0.28650331497192383, "y2": 0.4500385820865631, "score": 0.9986734390258789}}, {"emotions": {"angry": 0.014718671329319477, "sad": 0.9766198396682739, "neutral": 0.0009200209169648588, "happy": 0.0010258188704028726, "disgust": 0.004693961702287197, "surprise": 9.432777005713433e-05, "fear": 0.0019272681092843413}, "crop": {"x1": 0.8457512259483337, "x2": 0.9436366558074951, "y1": 0.027923330664634705, "y2": 0.19752132892608643, "score": 0.9986612796783447}}, {"emotions": {"angry": 0.003244522027671337, "sad": 0.6852898001670837, "neutral": 0.26349785923957825, "happy": 0.0005783516680821776, "disgust": 0.03780462592840195, "surprise": 0.004389339592307806, "fear": 0.005195499397814274}, "crop": {"x1": 0.08541946858167648, "x2": 0.18252816796302795, "y1": 0.04651014506816864, "y2": 0.21034161746501923, "score": 0.9986293315887451}}, {"emotions": {"angry": 0.08581036329269409, "sad": 0.13828475773334503, "neutral": 0.0945696160197258, "happy": 0.005091093946248293, "disgust": 0.10978526622056961, "surprise": 0.45284950733184814, "fear": 0.11360930651426315}, "crop": {"x1": 0.835882306098938, "x2": 0.9317261576652527, "y1": 0.8022559285163879, "y2": 0.9593812227249146, "score": 0.9986283779144287}}, {"emotions": {"angry": 0.00016641912225168198, "sad": 0.059466417878866196, "neutral": 0.006035596132278442, "happy": 0.8828521966934204, "disgust": 0.0043478612788021564, "surprise": 0.038554538041353226, "fear": 0.008577035740017891}, "crop": {"x1": 0.34556856751441956, "x2": 0.4407889246940613, "y1": 0.7927536964416504, "y2": 0.9540935158729553, "score": 0.9986225366592407}}, {"emotions": {"angry": 0.006066858768463135, "sad": 0.0010704046580940485, "neutral": 0.0011955015361309052, "happy": 0.0002654368872754276, "disgust": 6.579285400221124e-05, "surprise": 0.8807215094566345, "fear": 0.11061449348926544}, "crop": {"x1": 0.10050337016582489, "x2": 0.2042362540960312, "y1": 0.7964820861816406, "y2": 0.9794591665267944, "score": 0.9984971284866333}}, {"emotions": {"angry": 0.0005037524970248342, "sad": 0.0010864059440791607, "neutral": 1.2292537576286122e-05, "happy": 0.008865888230502605, "disgust": 2.719100120884832e-05, "surprise": 0.7165583968162537, "fear": 0.2729460299015045}, "crop": {"x1": 0.8345211744308472, "x2": 0.9299759268760681, "y1": 0.5601410865783691, "y2": 0.7390761375427246, "score": 0.9982064962387085}}, {"emotions": {"angry": 1.1968873877776787e-05, "sad": 0.0001657660905038938, "neutral": 0.00530551141127944, "happy": 0.990391731262207, "disgust": 0.00013892872084397823, "surprise": 0.0038504975382238626, "fear": 0.00013559116632677615}, "crop": {"x1": 0.08888475596904755, "x2": 0.19110727310180664, "y1": 0.2875526547431946, "y2": 0.4622143507003784, "score": 0.9978984594345093}}, {"emotions": {"angry": 0.0006629154086112976, "sad": 0.13283638656139374, "neutral": 0.5676032304763794, "happy": 0.27378737926483154, "disgust": 0.018750181421637535, "surprise": 0.002474874025210738, "fear": 0.003885033307597041}, "crop": {"x1": 0.6062652468681335, "x2": 0.7021478414535522, "y1": 0.7975308895111084, "y2": 0.9439920783042908, "score": 0.997859537601471}}, {"emotions": {"angry": 0.021045776084065437, "sad": 0.7185375094413757, "neutral": 0.09105641394853592, "happy": 0.0004497228073887527, "disgust": 0.1577453315258026, "surprise": 0.003328491933643818, "fear": 0.007836729288101196}, "crop": {"x1": 0.8368862867355347, "x2": 0.9428989291191101, "y1": 0.29540950059890747, "y2": 0.46619051694869995, "score": 0.9977903366088867}}, {"emotions": {"angry": 0.00011164861643919721, "sad": 0.847297191619873, "neutral": 0.09995566308498383, "happy": 0.004591424483805895, "disgust": 0.012901201844215393, "surprise": 0.0035157944075763226, "fear": 0.03162722289562225}, "crop": {"x1": 0.5817064642906189, "x2": 0.6886800527572632, "y1": 0.03191874176263809, "y2": 0.20072537660598755, "score": 0.997465968132019}}, {"emotions": {"angry": 3.947097866330296e-07, "sad": 1.248280477739172e-05, "neutral": 6.534343265229836e-05, "happy": 1.1869508398376638e-06, "disgust": 4.858913484895311e-07, "surprise": 0.9998743534088135, "fear": 4.573437763610855e-05}, "crop": {"x1": 0.5817520022392273, "x2": 0.6791829466819763, "y1": 0.5405747294425964, "y2": 0.7361804246902466, "score": 0.9973610043525696}}, {"emotions": {"angry": 4.863930371357128e-05, "sad": 0.00011764073860831559, "neutral": 0.002871865639463067, "happy": 0.08315121382474899, "disgust": 2.382390812272206e-05, "surprise": 0.913644552230835, "fear": 0.00014227187784854323}, "crop": {"x1": 0.3302620053291321, "x2": 0.42947137355804443, "y1": 0.5605955123901367, "y2": 0.7391798496246338, "score": 0.9973570704460144}}, {"emotions": {"angry": 0.0004575720231514424, "sad": 0.6707291603088379, "neutral": 0.2812739908695221, "happy": 5.2161609346512705e-05, "disgust": 0.03971533849835396, "surprise": 0.006140395998954773, "fear": 0.0016313801752403378}, "crop": {"x1": 0.33696746826171875, "x2": 0.4358404278755188, "y1": 0.042578451335430145, "y2": 0.20695656538009644, "score": 0.9970537424087524}}, {"emotions": {"angry": 0.0009728102013468742, "sad": 0.035279739648103714, "neutral": 0.9530791640281677, "happy": 0.0011411933228373528, "disgust": 0.009296112693846226, "surprise": 0.00018096856365446, "fear": 5.00130518048536e-05}, "crop": {"x1": 0.5824314951896667, "x2": 0.6878113746643066, "y1": 0.2827398478984833, "y2": 0.44106823205947876, "score": 0.9947507977485657}}]}
curl --location --request POST 'https://zylalabs.com/api/116/emotion+detection+api/1061/detection+emotion?img_url=https://eldiariony.com/wp-content/uploads/sites/2/2021/08/Lionel-Messi-3.jpg?quality=75&strip=all&w=1200' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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