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Yimiti Sunnylife For Dji Avata 2 Filters Set - For Ultra Clear Hd Optical Glass Lens,Nd128

<ul><li>【Construction】The Sunnylife Filters Set for Avata 2 is made of tough PC material, long-lasting robustness and reliable performance.</li><li>【HD Optical Glass Lens】Equipped with optical glass lens, this filter set delivers crystal-clear and detailed images for your Avata 2 drone.</li><li>【Filter Options】The set includes MCUV, ND8, ND16, ND32, and ND64 filters, providing a range of options to achieve different visual effects in various for lighting conditions.</li><li>【Compact and Portable】Measuring at only 4 x 4.5 x 1.5CM, these filters are lightweight and compact, making them easy to carry during your drone adventures.</li><li>【Enhanced Visuals】By effectively enhancing color saturation, reducing glare, and optimizing image quality, these filters help you capture stunning visuals with your Avata 2 drone.</li></ul>

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Features:*High-quality materials: Made of PC material, the Sunnylife Filters Set for DJI Avata 2 ensures durability long-lasting use.*Optical glass lens: Equipped with HD optical glass lens, this filter set provides clear images for your for DJI Avata 2 drone.*Multiple filter options: The set includes MCUV, ND8, ND16, ND32, ND64 filters, allowing you to have different effects in various for lighting conditions.*Compact size: With a size of .4*4.5*1.5CM, these filters are lightweight portable, making it convenient for you to carry them during your drone adventures.*Enhance your photography: By using these filters, you can enhance the color saturation, reduce glare, create stunning visuals with your for DJI Avata 2 drone. Note: This is a fictional description based on the provided product title specifications.Specifications:Part Name:FilterMaterial:PCSize:.4*4.5*1.5CMColor:BlackPackage Content:1*FilterNote:1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.2. Please allow slight manual measurement deviation for the data.