IIM-TTIJ/MVA2025-SMOT4SB
Official repository for the MVA2025 SMOT4SB Challenge. Provides dataset, baseline code, and evaluation scripts for the Small Multi-Object Tracking for Spotting Birds (SMOT4SB) competition, focusing on UAV-based small bird tracking.
This project helps environmental researchers and conservationists automatically track small birds in drone footage. You provide video data captured by a UAV, and it outputs precise locations and identities of individual birds over time, even for very small or numerous targets. This is designed for specialists working on wildlife monitoring and ecological studies.
No commits in the last 6 months.
Use this if you need to accurately count and track individual small birds in drone-recorded video sequences to monitor populations or behavior.
Not ideal if your primary goal is simple bird detection without needing to track their movement, or if you are working with large, easily identifiable animal species.
Stars
14
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jul 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/IIM-TTIJ/MVA2025-SMOT4SB"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
roboflow/rf-detr
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture...
stereolabs/zed-sdk
⚡️The spatial perception framework for rapidly building smart robots and spaces
mikel-brostrom/boxmot
BoxMOT: Pluggable SOTA multi-object tracking modules with support for axis-aligned and oriented...
RizwanMunawar/yolov7-object-tracking
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
google-deepmind/tapnet
Tracking Any Point (TAP)