Search Results for "object detection"
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Showing 3 open source projects for "object detection"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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MultiPathNet
A Torch implementation of the object detection network
MultiPathNet is a Torch-7 implementation of the “A MultiPath Network for Object Detection” paper (BMVC 2016), developed by Facebook AI Research. It extends the Fast R-CNN framework by introducing multiple network “paths” to enhance feature extraction and object recognition robustness. The MultiPath architecture incorporates skip connections and multi-scale processing to capture both fine-grained details and high-level context within a single detection pipeline. ... -
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DeepMask
Torch implementation of DeepMask and SharpMask
DeepMask is an early, influential approach to class-agnostic object segmentation that learns to propose pixel-accurate masks directly from images. Instead of first generating boxes and then refining them, the network predicts a foreground mask and an “objectness” score for a given image patch, yielding high-quality segment proposals suitable for downstream detection or instance segmentation. The model is trained end-to-end to align mask shape with object extent, which markedly improves recall at a manageable number of proposals. ... -
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euphoriasdk
A complete 2D Game Engine with built in drag and drop editor
...Some features of the engine are: - 2D levels and basic rasterized rendering - Simple animations and timer systems - A complete embedded Lua 5.1 scripting environment for level scripting - A drag and drop level designer - Support for all standard Windows Media Player compatible media types - Background Music - Sound Effects - Simple object collision detection - Pseudo 3D for making simulated 3D with 2D graphics - Scriptable Menus, buttons, etc - Custom Lua file manipulation libraries and script engine binding - Cut scene videos - Open Source What Euphoria is NOT: - A professional game design engine (maybe someday) - Bug free - Size Efficient (textures are stored as bitmaps - 3D - Covered Under Warranty - A Game, this is a Kit to BUILD a game
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