Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
DOI:
License:
Update configs for viewer and add a few more keywords
#3
by
egrace479
- opened
README.md
CHANGED
|
@@ -11,8 +11,21 @@ tags:
|
|
| 11 |
- CV
|
| 12 |
- drone
|
| 13 |
- zebra
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
size_categories: 10K<n<100K
|
| 15 |
description: "Annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at The Wilds in Ohio. This dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. It includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format, and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones."
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
---
|
| 17 |
|
| 18 |
|
|
|
|
| 11 |
- CV
|
| 12 |
- drone
|
| 13 |
- zebra
|
| 14 |
+
- "African Painted Dog"
|
| 15 |
+
- "Persian Onanger"
|
| 16 |
+
- giraffe
|
| 17 |
+
- Grevy's
|
| 18 |
size_categories: 10K<n<100K
|
| 19 |
description: "Annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at The Wilds in Ohio. This dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. It includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format, and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones."
|
| 20 |
+
configs:
|
| 21 |
+
- config_name: African-painted-dogs
|
| 22 |
+
data_files: session_1/*/*.jpg
|
| 23 |
+
- config_name: Persion-onangers
|
| 24 |
+
data_files: session_2/*/*.jpg
|
| 25 |
+
- config_name: Giraffes
|
| 26 |
+
data_files: session_3/*/*.jpg
|
| 27 |
+
- config_name: Grevy's-zebras
|
| 28 |
+
data_files: session_4/*/*.jpg
|
| 29 |
---
|
| 30 |
|
| 31 |
|