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--- DATASET INFORMATION --- |
ID: POV_SAMPLE_WOODCUTTING_001 |
Provider: Curuksu Enzo |
Date: 2026-02-21 |
Location: South of France (Provence) |
Environment: Mediterranean Forest / Sunny / Windy |
--- TECHNICAL SPECS --- |
Device: Xiaomi 15T Pro |
Format: 4K 60fps | HEVC (H.265) | 16:9 |
Audio: Raw Stereo (Environmental noise & Engine sound) |
Stabilization: Optical (OIS) + Electronic (EIS) |
--- SCENE DESCRIPTION --- |
Action: Chainsaw handling and wood cutting |
Tool: Stihl MS 200 (Professional Chainsaw) |
Wood Type: Castanea sativa (Dry Chestnut) |
Weather: Harsh sunlight with wind interference |
--- TIMESTAMPS (KEY MOMENTS) --- |
00:00 - 00:08 : Cold start of the Stihl MS 200 (Engine ignition) |
00:09 - 00:41 : Cutting dry chestnut wood (Sawing motion) |
00:42 - End : Tool idling and scene completion |
--- DATASET VALUE --- |
- Authentic POV (Egocentric view) for Robotic Imitation Learning. |
- High-frequency 60fps for precise motion analysis. |
- Unique outdoor Mediterranean lighting conditions. |
--- DATASET INFORMATION --- |
ID: VID_SAMPLE_WOODSPLITTING_002 |
Provider: Curuksu Enzo |
Date: 2026-02-21 |
Location: South of France (Provence) |
Environment: Mediterranean Forest / Sunny / Windy |
--- TECHNICAL SPECS --- |
Device: Xiaomi 15T Pro |
Format: 4K 60fps | HEVC (H.265) | 16:9 |
Audio: Raw Stereo (Hydraulic system & Engine sound) |
Stabilization: Optical (OIS) |
--- SCENE DESCRIPTION --- |
Action: Heavy-duty wood splitting (Vertical operation) |
Machine: 37-Ton 4-Stroke Thermal Log Splitter (Trailer mounted) |
Wood Type: Quercus suber (Dry Cork Oak with thick bark) |
Weather: High contrast sunlight / Wind |
--- TIMESTAMPS (KEY MOMENTS) --- |
00:00 - 00:10 : Machine setup and log positioning |
00:11 - 00:45 : Successive splitting cycles (Hydraulic wedge movement) |
00:46 - 01:00 : Bark fragment scattering and clearing |
--- DATASET VALUE --- |
- Focus: High-pressure hydraulic tool interaction. |
- Texture: High-detail capture of "Quercus suber" (Cork Oak) bark. |
- Safety: Ideal for AI training on hand-placement and wedge-danger zones. |
Project Name: High-Fidelity Forestry & Manual Labor POV Dataset |
Provider: Enzo Curuksu (France) |
Technical Specs: |
Resolution: 4K (3840x2160) |
Framerate: 60 fps |
Viewpoint: Egocentric (POV) |
What's inside these samples: |
Real-world interactions with forestry machinery (37T splitters, Stihl chainsaws). |
Navigation on irregular Mediterranean terrains (Saint-Tropez area). |
Complex lighting conditions and physics (sawdust, wood fragmentation). |
Custom Data: I am available for on-demand data collection tailored to your specific requirements. |
task_categories: - video-classification - object-detection tags: - robotics - egocentric-vision - imitation-learning - forestry - physical-interaction - real-world-scenarios - 4k language: - en
High-Fidelity Forestry & Manual Labor POV Dataset
🌲 Overview
This dataset provides high-quality, egocentric (POV) video sequences captured in rugged Mediterranean environments (Saint-Tropez, France). It is specifically designed for Imitation Learning, Robotics training, and Generative AI physics validation.
📊 Technical Specifications
- Resolution: 4K UHD (3840x2160)
- Framerate: 60 fps
- Format: HEVC / MP4
- Camera Angle: Head-mounted POV (Egocentric)
🛠️ Content & Scenarios
- Mechanical Interaction: Real-world handling of heavy machinery (37-ton wood splitters, Stihl chainsaws).
- Complex Physics: Wood fragmentation, sawdust dynamics, and tool vibrations.
- Environment: Irregular forest terrains, high-contrast sunlight, and natural textures.
- Edge Cases: Authentic outdoor labor scenarios that are difficult to simulate.
💡 AI & ML Interests
Passionate about advancing Robotics and Generative AI through high-quality, real-world data. I focus on capturing complex human gestures and mechanical tool handling. I am highly adaptable and can provide custom data on demand—whether it's specific outdoor navigation, precision tool use, or varied lighting conditions.
📜 Licensing
This preview dataset is provided under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND 4.0). For commercial licensing, full dataset access, or custom data acquisition, please contact me directly.
Contact: curuksu.contact@gmail.com Location: Saint-Tropez / Gulf of Saint-Tropez, France
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