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RSK World
action-recognition
RSK World
action-recognition
Action Recognition Dataset - Video Classification + Action AI + Video ML
action-recognition
  • annotations
  • sample_data
  • .gitignore1.2 KB
  • LICENSE.txt3.3 KB
  • README.md13.1 KB
  • RELEASE_NOTES.md4 KB
  • action-recognition.png150.5 KB
  • api_server.py16.1 KB
  • augmentation.py15.9 KB
  • benchmark.py20.6 KB
  • config.json2.8 KB
  • convert_videos.py3.5 KB
  • create_logo.py5.5 KB
  • demo.html28.3 KB
  • download_real_human_videos.py12.6 KB
  • download_real_videos.py21.1 KB
  • download_ucf101.py19.6 KB
  • download_youtube_videos.py10.1 KB
  • favicon.png786 B
  • generate_browser_videos.py10.7 KB
  • generate_samples.py19.4 KB
  • get_real_videos.py8.2 KB
  • index.html38.8 KB
  • loader.py8.9 KB
  • logo.png8.5 KB
  • process_downloaded.py4.6 KB
  • real_running_preview.png195.6 KB
  • real_video_preview.png330.6 KB
  • realtime_predictor.py14.3 KB
  • requirements.txt1.9 KB
  • script.js13.8 KB
  • styles.css39.4 KB
  • train_model.py20.5 KB
  • video_preview.png61.3 KB
  • visualize_dataset.py18 KB
config.json
config.json
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{
    "_metadata": {
        "project": "Action Recognition Dataset",
        "category": "Video Data / Data Science",
        "website": "https://rskworld.in",
        "founder": "Molla Samser",
        "designer": "Rima Khatun",
        "contact": {
            "email": ["help@rskworld.in", "support@rskworld.in"],
            "phone": "+91 93305 39277"
        },
        "copyright": "© 2026 RSK World. All Rights Reserved."
    },
    "dataset": {
        "name": "Action Recognition Dataset",
        "version": "1.0.0",
        "description": "Video action recognition dataset with labeled video sequences for training action classification and video understanding models.",
        "full_description": "This dataset contains video sequences with action labels for action recognition tasks. Perfect for training 3D CNNs, video classification models, and video understanding applications.",
        "difficulty": "Advanced",
        "category": "Video Data"
    },
    "statistics": {
        "total_videos": 1570,
        "total_hours": 50,
        "total_classes": 12,
        "train_samples": 1045,
        "val_samples": 209,
        "test_samples": 316
    },
    "video_specs": {
        "formats": ["MP4", "AVI"],
        "resolution_range": {
            "min": [320, 240],
            "max": [1920, 1080]
        },
        "fps_range": [24, 30],
        "duration_range": [2, 10],
        "color_space": "RGB"
    },
    "classes": [
        "walking",
        "running",
        "jumping",
        "sitting",
        "standing",
        "waving",
        "clapping",
        "punching",
        "kicking",
        "turning",
        "bending",
        "pointing"
    ],
    "preprocessing": {
        "default_num_frames": 16,
        "default_frame_size": [224, 224],
        "normalization": true,
        "augmentation": {
            "horizontal_flip": true,
            "random_crop": true,
            "color_jitter": true,
            "temporal_jitter": true
        }
    },
    "recommended_models": [
        "C3D",
        "I3D",
        "R(2+1)D",
        "SlowFast",
        "TimeSformer",
        "ViViT",
        "Two-Stream Networks",
        "TSN",
        "TRN"
    ],
    "technologies": [
        "MP4",
        "AVI",
        "OpenCV",
        "Video Processing"
    ],
    "features": [
        "Labeled video sequences",
        "Multiple action classes",
        "Training and validation sets",
        "Frame-level annotations",
        "Ready for 3D CNN models"
    ],
    "links": {
        "website": "https://rskworld.in",
        "demo": "./action-recognition/",
        "download": "./action-recognition/action-recognition.zip",
        "contact": "https://rskworld.in/contact.php"
    }
}

97 lines•2.8 KB
json

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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