VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

Benchmark Model Rank Results
visual-question-answering-vqa-on-mmvpMiMo-VL-7B-SFT + VisionFoundry-10K#1Paired Accuracy: 57.3
vision-language-understanding-on-mmbench-v1-1MiMo-VL-7B-SFT + VisionFoundry-10K#19Accuracy: 81.6
visual-question-answering-vqa-on-blinkMiMo-VL-7B-SFT + VisionFoundry-10K#28Accuracy: 58.7
computer-use-agents-on-screenspot-proQwen2.5-VL-3B-Instruct + VisionFoundry-10K#49Accuracy: 20.2
visual-question-answering-vqa-on-realworldqaMiMo-VL-7B-SFT + VisionFoundry-10K#63Accuracy: 67.5
vision-language-understanding-on-mmstarMiMo-VL-7B-SFT + VisionFoundry-10K#74Accuracy: 62.7
multimodal-reasoning-on-mathvistaQwen2.5-VL-3B-Instruct + VisionFoundry-10K#88Accuracy: 62.9
multimodal-reasoning-on-mmmuMiMo-VL-7B-SFT + VisionFoundry-10K#88Accuracy: 52.3