HDR Plus+
Professional HDR photos.
About
Capturing brilliant HDR photos has never been easier. By using HDR Plus+ users can leverage the power of Machine Learning, to enhance their photos. Besides professional editing capabilities, HDR Plus+ allows inexperienced users to use a lot of filters, presets, and auto-mode for taking their photographs to another level.
Features
Auto - capture HDR photos using AI
Manual adjust ISO and exposure
RAW capture
EV Presets
Control ISO, exposure, and white balance
Launch & Maintenance
Marketing materials
Services
UI/UX
iOS development
ML development
Multi-device manual testing
Features showcase
Capture
Capture ultra-realistic, noiseless RAW photos using all the power in your iPhone. Shoot a burst of up to 8 RAW photos, align and merge them to achieve a DSLR-like look and feel.
Import
Import your favorite photos or HDR brackets captured with other apps or devices, and merge and edit them in HDR Plus+. By doing so you can leverage the power of the ML algorithms on any of your photos.
Edit
Edit the photos like a professional, the app allows its users to merge styles, and modify the colors, vibrance, BW, and depth control together with skin smoothing and de-ghosting.
Additionally, it allows users to tweak any of the normal, pro-level values such as brightness, contrast saturation, exposure, gamma, hue, etc.
Presets
For fast editing, users can select from already existing presets or create their own. In this way, inexperienced users can easily use their own style consistently on all their photos.
Setup
Process
Agile
2 weeks sprints
Daily standups
Team
1 iOS
1 ML
1 Q&A
1 Designer
1 PO/Scrum master
Technologies
iOS (Swift)
ML (Python)
Figma
Dates
October 2021 - Ongoing
Take away and
challenges
Learning more about photography was one of the best things about this project, our team is now proficient in pro-level photography slang.
The Machine Learning models were the most challenging and fun parts of the project, we got to play around with different approaches and build our very own models for solving different challenges in the app.
This project showed us that ML can be applied successfully in a lot of areas in which we thought it was impossible. It pushed our AI team further and enhanced our skillsets to new levels.
Hey, how you doin'?
What exactly are you trying to achieve? Let's have a call and discuss your project!