AKASH-DRISHTI
ridash2005
DRISHTI is a state-of-the-art Vision-Language Model (VLM) framework for Satellite Imagery. Built on Qwen3-VL and SAM3, it features a 180K+ sample dataset, Two-Stage LoRA/DPO training, and Pyramidal Tiling for high-accuracy counting and grounding. Achieved +40% BERT-BLEU in captioning and +21% VQA accuracy over baselines.
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3 data points · 2026-07-22 → 2026-08-28How do you feel about this project?
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Question copied to clipboardWhat is the ridash2005/AKASH-DRISHTI GitHub project? Description: "DRISHTI is a state-of-the-art Vision-Language Model (VLM) framework for Satellite Imagery. Built on Qwen3-VL and SAM3, it features a 180K+ sample dataset, Two-Stage LoRA/DPO training, and Pyramidal Tiling for high-accuracy counting and grounding. Achieved +40% BERT-BLEU in captioning and +21% VQA accuracy over baselines.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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