Describe what you actually retain
An image count is only the beginning of a photo dataset brief. Useful coverage depends on subject diversity, capture conditions, class balance, source relationships, and annotation quality. Photo Datasets is a Fiund site for buyers exploring image sourcing for computer vision and visual evaluation. If you hold relevant material, explain its origin, approximate size, date coverage, and original file types. Distinguish an estimate from a reconciled inventory.
Explain the source characteristics
Coverage plan: Class list, counts per class, environments, geographic scope, and real versus synthetic requirements.; Image properties: Dimensions, orientation, file format, compression tolerance, and whether originals are required.; Annotation rules: Label taxonomy, box or mask conventions, ambiguous cases, and quality-review criteria.; Source relationships: Burst sequences, near duplicates, photographer groups, and separation of evaluation examples. List missing information instead of inferring details that have not been checked.
Identify the permission questions
Describe who produced the material, which other contributors or components may be involved, and what uses have previously been agreed. Possession of files alone does not resolve permission or confidentiality questions. Sensitive records and agreements should be handled through an appropriate review process.
Begin with an email, before a transfer
Send a high-level description to jaeden@fiund.com. Do not attach an archive or sensitive participant material to the first message. Any later access, review, preparation, and commercial scope must be agreed for the specific project; an inquiry does not promise a buyer, acceptance, or earnings.
Include in your inquiry
- Subjects and class taxonomy
- Counts and required visual diversity
- Image formats and minimum dimensions
- Annotation type and review rules
- Permitted uses and exclusions