[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
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Updated
Jul 2, 2026 - Python
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
Official Agent skills of Oxylabs products
⚡ Build structured YouTube datasets at scale — effortlessly fetch transcripts and rich metadata for NLP, ML, and AI workflows.
Edge video infrastructure in Go for CCTV — RTSP ingest, HLS/WebRTC streaming, fMP4 recording, timeshift and AI metadata pipelines.
I3D implemetation in Keras + video preprocessing + visualization of results
The GMPHD filter based Online Multiple Object Tracker using Group Management and Relative Motion Analysis
Automatic Number Plate Recognition with YOLOv5 and PyTorch
Retrieve YouTube data from your Browser
Shaka Player analytics SDK - real-time QoE metrics: rebuffering, startup time, playback errors and engagement for HLS and DASH streaming.
Video.js analytics SDK - real-time QoE metrics: rebuffering, startup time, playback errors and engagement for any Video.js player.
Media Info Comparison
2,000+ Video APIs for transcripts, metadata, and video intelligence across platforms.
Frame-differencing method: Automatic extraction of movement from video data
A plugin to visualize video & sensor data using FiftyOne
Object Recognition Prototype for Detection of Bell Peppers and Kiwis in Video Data (Deployed on NVIDIA Jetson Nano)
A simple YouTube Downloader.
This annotation tool is build to clean and create video dataset.
Image and video data released into the public-domain
A React Native SDK to monitor, measure, and optimize video performance on Android and iOS.
YouTube Scraper - Collect public video, channel, playlist, and transcript metadata for research
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