Computer Vision Development
Introduction - computer vision development
This is our general entry point for computer vision work - object detection, image classification, or visual analysis applied to a specific business problem. Scope ranges widely: counting objects in a video feed, classifying product images, or detecting specific patterns in visual data.
We start by assessing whether your problem needs a custom-trained model or whether an existing pre-trained model/API already solves it - building custom computer vision from scratch is expensive, and we'll recommend the cheaper existing option when it genuinely fits.
Custom model vs. existing API - an honest assessment
General object detection (people, cars, common objects) is well-solved by existing APIs (Google Vision, AWS Rekognition) at a fraction of custom-model cost. Custom training earns its cost specifically when your use case is niche - detecting a proprietary product defect, recognizing something no general model was trained on - where existing APIs simply don't have the right training data.
We're upfront about data requirements too: a custom model needs a genuine labeled dataset, and if you don't have one yet, data collection/labeling becomes part of the project timeline, not an afterthought.
What's included
- Honest assessment - existing API vs. custom-trained model
- Data collection and labeling guidance if a custom model is needed
- Model training and validation against your actual use case
- Production inference API for real-time or batch image processing
- Accuracy benchmarking against your real-world images, not clean demo data
- Ongoing model monitoring for accuracy drift over time
Our process
1. Assess the actual problem
We determine whether an existing API solves your case or if custom training is genuinely needed, based on how niche your visual detection target is.
2. Collect/label data if needed
For custom models, we guide data collection and labeling using your real images, not synthetic or unrelated datasets.
3. Train, validate & deploy
The model gets trained and validated against held-out real images before deployment, with an inference API delivered for your application to call.
Pricing
Using an existing vision API costs far less than training a custom model - we recommend the cheaper path whenever it genuinely fits your use case. Range: Rs 100,000 - 700,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Manufacturing and retail needing visual detection specific to their products, security/monitoring applications, and any business with a proprietary visual pattern general APIs can't recognize.