aidetector

Built a hybrid AI-image detection pipeline using classical image-forensics features and DINOv2 embeddings with leakage-safe training and…

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 9a7d98d8cc (2026-10-09).

Selected work

aman696
@aman696

“Add real classical-detector demo API and image-testing page”. 4 files, 343 lines in demo, tests, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones aman696/aidetector at the pinned commit and indexes it on your machine.

Search the GitHub repository aman696/aidetector with XERJ (https://hub.xerj.org/corpus/aman696--aidetector).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/aman696/aidetector aidetector && git -C aidetector checkout 9a7d98d8cce480b7a9325bb662298a2d6ea09f20
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./aidetector --url http://127.0.0.1:9200 --prefix aidetector --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.