Duplicate from banu4prasad/VisDrone-Dataset

Co-authored-by: Banuprasad B <banu4prasad@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
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+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- object-detection
+language:
+- en
+tags:
+- YOLO
+pretty_name: VisDrone YOLO format
+size_categories:
+- 1K<n<10K
+---
+
+
+# VisDrone Dataset (YOLO Format)
+
+## Overview
+
+This repository contains the VisDrone dataset converted into the YOLO (You Only Look Once) format. The VisDrone dataset is a large-scale benchmark for object detection, segmentation, and tracking in drone videos. The dataset includes a variety of challenging scenarios with diverse objects and backgrounds.
+
+## Dataset Details
+
+- **Classes**: 
+  - 0: pedestrian
+  - 1: people
+  - 2: bicycle
+  - 3: car
+  - 4: van
+  - 5: truck
+  - 6: tricycle
+  - 7: awning-tricycle
+  - 8: bus
+  - 9: motor
+  - 10: others
+
+## Dataset Structure
+
+The dataset is organized as follows inside the ZIP file:
+
+- **images/**: Contains the image files for training, validation, and testing.
+  - **train/**: Training images.
+  - **val/**: Validation images.
+  - **test-dev/**: Test images for development.
+  - **test-challenge/**: Test images for the challenge (no labels).
+- **labels/**: Contains the corresponding label files in YOLO format.
+  - **train/**: Labels for training images.
+  - **val/**: Labels for validation images.
+- **data.yaml**: Configuration file, specifying paths to images and labels, and class names.
+
+

VisDrone_Dataset.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3ceae024760e4f0ef0cca4cb8d7ab6aae58e5f3c95737addd12888487ab50d9a
+size 2259569982

visdrone.yaml

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+# VisDrone Dataset Configuration
+path: ./VisDrone_Dataset
+train: VisDrone2019-DET-train/images
+val: VisDrone2019-DET-val/images
+test: VisDrone2019-DET-test-dev/images
+
+#number of classes
+nc: 10
+
+# Class names
+names:
+  0: pedestrian
+  1: people
+  2: bicycle
+  3: car
+  4: van
+  5: truck
+  6: tricycle
+  7: awning-tricycle
+  8: bus
+  9: motor