Image Collection FOUNDATIONS
How image collection projects work: photography technique, metadata and authenticity, and image consent.
Counts towards Data Collection Foundations certification: 8 courses required.
Course Fee
Overview
Start your Image Collection journey.
Text-recognition systems learn from photographed receipts, retail AI from shelf photos, vision models from objects at angles no scraped dataset covers. All of it collected by people with ordinary phones.
Image work is the most accessible way into AI data collection, and the easiest place to lose money by treating easy as casual, because metadata and privacy rules reject more submissions than bad photography does.
This course teaches dataset photography as photography that matches a brief, not photography that looks good: focus, glare, completeness and requested angles; EXIF and the authenticity wall, why originals-only is absolute, and how a reviewer can tell a helpful crop or an auto-enhance from a camera original; privacy in still images, from the name in the corner of a receipt to the face reflected in a window behind the object; and then five photo submissions to rule on yourself, each settled by a clause of the brief. Around 1 to 2 hours, self-paced; the free Data Collection Basics first is recommended.
One of the eight courses of the Data Collection Foundations certification programme: pass all eight to become a Certified Data Collector. Available on its own or under the programme fee; certificate included on passing.
What You Get
What's included in your training
Structured Learning Modules
Learn at your own pace through structured modules on the DeeLab Academy learning platform.
Self-Paced Schedule
No fixed schedule. Start when you want, finish at your own pace.
Knowledge Checks
Worked examples and per-unit practice quizzes with instant feedback, plus a final knowledge assessment on the e-learning platform (80% to pass).
Certificate Included
Your verifiable certificate for this course is included in the programme price, issued once you pass the final assessment.
Outline
What you'll learn
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Image Collection Projects
Which image projects exist, from documents and objects to field tasks.
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Photography Technique for Datasets
How focus, glare, completeness, and requested angles decide acceptance.
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Metadata and Authenticity
What EXIF carries, and why only unedited camera originals are accepted.
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Image Privacy and Consent
How faces, documents, reflections, and location data are handled.
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Judging Image Submissions
What the image rejection catalogue contains, and how self-review prevents it.
Counts toward the Data Collection Foundations (DCF) certification programme.
How it works
From enrolling to certified
1
Learn at your own pace
Start the moment you enrol and work through the material in your own time. There is no cohort to wait for and no fixed schedule to keep up with.
2
Pass the assessment
The course ends with a graded assessment you take when you are ready. The result is what counts, not how long you took.
3
Receive your certificate
Issued within one week of passing, with a public verification page anyone can check.
Two ways in
This course, or the whole programme
Just this course
Image Collection Foundations
One course, with its certificate when you pass.
at your own pace
Best value
The full Data Collection Foundations
All 8 courses, and the programme certificate at the end.
the courses one at a time
Frequently Asked Questions
Everything you need to know about this course.
Most learners finish in 1 to 2 hours, self-paced. Each of the five units has reading and a practice quiz with instant feedback, and interactive exercises run throughout the course. The final knowledge assessment has an 80% pass mark. You can retake it as many times as you need, with 24 hours between attempts, and your highest score counts.
It's designed for absolute beginners, and it has the lowest equipment bar in the track: a phone camera is enough. No photography training and no AI knowledge are required. Data Collection Basics is the recommended starting point, but this course doesn't assume it.
A modern phone camera is normally the specification, and editing skills are actively unhelpful, because projects want the untouched original file. Filters, crops, colour correction and screenshots get submissions rejected, partly because they change the image and partly because EXIF metadata records that it happened. What is worth learning is light, focus, glare, and framing the whole subject.
Reading, interactive scenario exercises, and knowledge checks on the e-learning platform. It teaches the conventions of image collection: project types, dataset photography technique, metadata and authenticity, privacy and consent, and how reviewers decide. Any at-home photography practice it suggests is optional, and nothing you photograph is uploaded, reviewed, or marked by DeeLab.
Only within what the project permits, and that is narrower than most beginners expect. Faces need documented consent on the project's own form, other people's documents and number plates are usually excluded outright, and some field tasks need permission from the premises. The course covers how consent, location data and reflections are handled, which is the part that most often causes a rejection or a ban.
The other Data Collection Foundations courses are the natural next step, and each is available on its own or under the programme fee: video, audio, web research, conversational AI data, and human feedback. Image Annotation Basics in the Data Annotation Basics track is the labelling-side companion to this one. You can also record your completed courses, equipment, location and availability in the freelance and gig work section of your trainee profile, which is what DeeLab looks at when an image project needs contributors.
Yes. The certificate is included in the course fee and is issued automatically once you pass the final assessment and leave your course feedback, and in any case within a week of passing. Pass all eight Data Collection courses and the programme certificate, the Certified Data Collector award, follows automatically as well.
You have three months to complete the course, counted from the day you sign up. Within that window it is entirely self-paced and always open; your progress is saved automatically and you can return whenever suits you.