Unverified50% confidenceFactExact time
The author's V1 model completed pre-training on RGB images using the COCO dataset, with 500 frames of images selected for manual correction of annotation boxes.
1
Sources
50%
Confidence
Long-term
Relevance
8/9/2026
First Seen
Sources
自建多模态数据集:从500帧到300万帧的自动化标注实践
Related Claims
UnverifiedThe author selected 500 frames of images to manually correct annotation boxes and mapped RGB annotations to infrared images by leveraging the coaxial calibration property between LWIR and RGB.77% similarUnverifiedIn the field of video generation, LoRA fine-tuning allows users to train customized models for specific styles, characters, or scenes using tens to hundreds of samples.66% similarUnverifiedDINOv2 is a visual foundation model released by Meta AI in 2023, pre-trained on large-scale unlabeled image data using a self-supervised learning paradigm.66% similarUnverified该工作流的第一步是让模型输出一份带时间戳、镜头角度和剪辑点的完整分镜脚本,在文字层面固定动画节奏65% similarUnverifiedVisual fidelity evaluation uses a vision-language model (VLM) to compare screenshots of generated pages against prototype design images.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/712769API
curl https://kongchang.com/api/v1/knowledge/claims/712769MCP
get_claim(id=712769)