DeepLearning
DeepLearningProject
Deep Learning Project
Dataset Summary
This repository contains the datasets, trained models, notebooks, experiments, feature-extraction outputs, and supporting resources developed for a deep learning project focused on fire detection, fire severity classification, and related computer vision tasks.
The project covers multiple stages of a deep learning workflow, including binary fire classification, three-class fire severity classification, feature extraction… See the full description on the dataset page: https://huggingface.co/datasets/AbdullahImran/DeepLearningProject.AutoStitch
AutoStitch Studio
AI-Powered Video Composition Tool for Windows
A locally-run, offline-first Windows desktop application that automates voiceover generation, sound effect creation, and multi-lane video stitching — all without any cloud dependency.
No cloud. No subscriptions. Everything runs on your machine.
What It Does
AutoStitch Studio gives content creators a 3-lane timeline to compose videos:
Lane
Input
Engine
Video
Folder of .mp4… See the full description on the dataset page: https://huggingface.co/datasets/deepLEARNING786/AutoStitch.deep-learning-fire-detection-datasetROCOv2-X-Ray-radiology
ROCOv2 X-Ray Subset
Radiographs extracted from ROCOv2 (Radiology Objects in COntext, version 2), for training vision-language models on X-ray interpretation.
What this is
ROCOv2 spans many imaging modalities. This subset keeps only the X-ray studies, so that a model can be trained on a single modality rather than learning across CT, MRI, ultrasound and radiography at once.
Rows
4,254
Split
train
Size
~977 MB
Modality
X-ray only… See the full description on the dataset page: https://huggingface.co/datasets/deepLEARNING786/ROCOv2-X-Ray-radiology.deep_learning_2025_vision_jointThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 10128,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Jeongeun/deep_learning_2025_vision_joint.deep.learning.200