Uploading and managing files and images can be a challenge. The list is endless and time-consuming, from filtering to categorizing to properly tagging.
A simple machine learning-based file and image uploader can be a game changer.
In this post, we’ll walk you through the details of object detection service and why it is essential for every JavaScript file upload API.
Finally, we’ll show you that JavaScript file upload API has a solution for object detection service.
For example, what Is Object Detection In A File And Image Uploader?
Object detection is an essential computer vision technique often used to detect and locate instances of objects in images or videos.
Object detection relies on algorithms that mainly leverage machine learning to produce meaningful results.
For example, humans can recognize and detect objects of interest when looking at images or videos. The goal of object detection is to replicate human intelligence using the computer.
Why Is Object Detection Important In A File And Image Uploader?
Object detection is a fundamental problem with computer vision. It builds the foundation of many downstream computer vision tasks — for example, segmentation, image captioning, and object tracking.
Object detection of file and image upload API is vital because only knowing which objects are in your photo isn’t enough.
You may need to know where they are too. So, to detect and locate everyday objects in images, you will need a dedicated neural network.
Filestack provides not only a file upload service but also manages them. Thus, you need a suitable image intelligence service to uncover insights within the images.
For this, it has partnered with platforms to provide quick analysis of images and return actionable insights.
Image intelligence service is empowered with machine learning to organize images automatically and streamline processes.
What Can You Do With The Image Intelligence Service?
File And Image Uploader: You know about object detection if you are familiar with advanced driver assistance systems (ADAS), video surveillance, or image retrieval systems. It is the critical technology behind advanced driver assistance systems.
The system enables cars to detect driving lanes or perform pedestrian detection to improve road safety.
Object detection is a must for video surveillance or image retrieval systems.
The object detection service uses state-of-the-art neural networks to detect and locate everyday objects in images.
Object Recognition
Filestack comes with an image auto-tagging service that can effortlessly abstract what things appear in the uploaded image. It can easily classify people, animals, transportation, and other categories.
Explicit Content Detection
While providing content, it’s essential to ensure it is safe for your audience. For this, you can moderate your images to show content that complies with your rules and regulations.
Image tagging service can help you automate content moderation to focus on your core business by enabling precise content detection.
To know more about the topics, check out this article: Automatically Flag NSFW Content With Object Detection.
OCR
OCR effectively extracts printed and handwritten data from uploaded images. Optical character recognition and object detection revolutionize car license plate recognition.
Copyright Service
If you want to detect copyright-protected images, image intelligence will do it reliably. A single API call displays the copyright status when you upload millions of images.
The service benefits businesses that rely on user-generated content and require their uploads to be free of copyrights.
Video Intelligence
Search Engine Optimization (SEO) increases users’ chances of finding your website. Applying video intelligence gives your site the boost it needs with automatic video tagging.
ML-enabled long-form video tags are used for your video uploads and optimize your site’s performance with SEO front and center.
ContentIQ pairs the best machine learning technology with your business process to deliver intelligence into your workflow.
How Can You Enable Object Detection?
Filestack has developed a logic-driven intelligence functionality that uses machine learning to analyze images quickly and return actionable insights.
The tools checked for object recognition and detection, NSFW content, cropped photos, performed copyright detection on Word Docs, etc.
Object Detection Service Output Using File And Image Uploader
For detecting a cat:
OBJECT DETECTION
| { “tags”: { “auto”: { “cat”: 98, “cat like mammal”: 77, “close up”: 78, “european shorthair”: 68, “fauna”: 84, “mammal”: 93, “small to medium sized cats”: 76, “tabby cat”: 72, “vertebrate”: 92, “whiskers”: 92 } } } |
For detecting a dog:
OBJECT DETECTION
| { “tags”: { “auto”: { “black”: 92, “dachshund”: 79, “dog”: 99, “dog breed”: 90, “dog like mammal”: 80, “hound”: 62, “mammal”: 94, “puppy”: 62, “setter”: 59, “vertebrate”: 93 } } } |
For detecting an owl:
OBJECT DETECTION
| { “tags”: { “auto”: { “beak”: 92, “bird”: 97, “bird of prey”: 84, “close up”: 76, “fauna”: 84, “owl”: 92, “vertebrate”: 92, “wildlife”: 90, “wing”: 51 } } } |
For detecting a horse:
OBJECT DETECTION
| { “tags”: { “auto”: { “bridle”: 56, “horse”: 99, “horse like mammal”: 80, “mammal”: 80, “mane”: 87, “mare”: 91, “mustang horse”: 80, “stallion”: 92, “vertebrate”: 89 } } } |
For detecting a woman:
OBJECT DETECTION
| { “tags”: { “auto”: { “beauty”: 81, “brown hair”: 75, “dress”: 71, “fashion”: 64, “hair”: 94, “hairstyle”: 71, “lady”: 82, “long hair”: 69, “person”: 91, “woman”: 87 } } } |
For detecting a Man:
OBJECT DETECTION
| { “tags”: { “auto”: { “academic conference”: 54, “conversation”: 68, “human positions”: 87, “person”: 90, “sitting”: 74 } } } |
FOR EXPLICIT CONTENT DETECTION:
| { “sfw”: true } |
That’s it.
