Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟳𝟯 Computer Vision Learning 𝗧𝗶𝗱𝗲 : A General Toolbox for Identifying Object Detection Errors by Georgia Institute of Technology Follow me for similar post :  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in ECCV2020 with over 17 citations. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/dUNRuNY code : https://lnkd.in/dEHRXfr ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 TIDE, a framework and associated toolbox for analyzing the sources of error in object detection and instance segmentation algorithms. 🔸Importantly, our framework is applicable across datasets and can be applied directly to output prediction files without required knowledge of the underlying prediction system. 🔸Thus, our framework can be used as a drop-in replacement for the standard mAP computation while providing a comprehensive analysis of each model’s strengths and weaknesses. 🔸We segment errors into six types and, crucially, are the first to introduce a technique for measuring the contribution of each error in a way that isolates its effect on overall performance. We show that such a representation is critical for drawing accurate, comprehensive conclusions through in-depth analysis across 4 datasets and 7 recognition models. #computervision #artificialintelligence #data