1: Organize your visual data
2: Create a visual search engine
3: Create a visual recommendation engine
1: Create an Image Set
2: Upload your image data
3: Wait for Oculam's AI model to process your data
4: Query against your results
5: You can add more data to your Set and query against the new results
Our API calculates similarity between images in an image set. Try the Demo
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[
{
"imageA": "cat-1.jpg",
"imageB": "cat-2.jpg",
"similarity": 9,
"message": "Very Similar"
},
{
"imageA": "cat-1.jpg",
"imageB": "dog-1.jpg",
...
},
...
]