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Independent publisher

Truong

KhangTruong

Natural language processing

Models in Library2
Datasets in Library2
Models on Hugging Face19
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Compare the published evidence

This profile connects the 4 model and dataset records 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

Model · Image segmentation

Testing-model

Truong

Official repository for Testing-model checkpoints, evaluated on AI-generated image detection and segmentation tasks. To download the latest checkpoint directly to your local workspace

Open weights apache-2.0 sid-unet

Model · Image segmentation

gap-efficient-sam

Truong

Official repository for gap-efficient-sam checkpoints, evaluated on AI-generated image detection and segmentation tasks. To download the latest checkpoint directly to your local workspace

Open weights apache-2.0 sid-unet

Datasets

Dataset · Image segmentation

COCO-inpainted-cache

Truong

Pre-computed High-Dimensional Forensic Latents for ultra-fast Diffusion-Diff forensics training. - imgid (string): Image identifier. - label (int64): Class label (0: authentic, 1: fully synthetic, 2: tampered/inpainted). - zhighdim (binary): Pre-computed 84-channel fp16 latent tensor bytes. - mask (binary): Ground-truth binary manipulation mask encoded as PNG bytes. - channels (int64): Total channel count (84). - latenth (int64): Latent height (64). - latentw (int64): Latent width (64).

Publicly accessible apache-2.0

Dataset · Image segmentation

gap-sam-coco-cache

Truong

Pre-computed High-Dimensional Forensic Latents for ultra-fast Diffusion-Diff forensics training. - imgid (string): Image identifier. - label (int64): Class label (0: authentic, 1: fully synthetic, 2: tampered/inpainted). - zhighdim (binary): Pre-computed 256-channel fp16 latent tensor bytes. - mask (binary): Ground-truth binary manipulation mask encoded as PNG bytes. - channels (int64): Total channel count (256). - latenth (int64): Latent height (32). - latentw (int64): Latent width (32).

Publicly accessible apache-2.0