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Independent publisher

Sai Charan Obuladinne

obuladinnesai

Fake photo detection

Models in Library1
Datasets in Library0
Models on Hugging Face7
Followers1

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image segmentation.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

A PyTorch research model for detecting and localizing AI-edited regions in car-damage photos. It focuses on localized inpainting that adds, removes or exaggerates vehicle damage, and returns a tamper heatmap, an image-level suspicion score and a threshold-based flag. Use it to explore image manipulation detection, diffusion inpainting detection and vehicle-photo integrity with the supplied local inference code. It does not assess damage severity, estimate repair costs or prove fraud. Fully AI-generated scenes are a documented weak case. Author: Sai Charan Obuladinne · Framework: PyTorch · Weights: Safetensors · Declared repository license: Apache-2.0; see the upstream-data caveat below.…

Open weights apache-2.0 29M parameters pytorch