Wildtierrettung Combined Dataset
Versions
2024-06-30 12:34pm
v17
· 3 months ago
2024-06-15 6:47am
v16
· 3 months ago
2024-05-28 7:55pm
v15
· 4 months ago
2024-05-23 9:41am
v14
· 4 months ago
2024-05-22 10:14pm
v13
· 4 months ago
2024-05-16 8:39am
v12
· 4 months ago
2024-05-15 2:37pm
v8
· 4 months ago
2024-05-15 10:16am
v3
· 4 months ago
2024-05-14 12:34pm
v2
· 5 months ago
2024-05-14 12:31pm
v1
· 5 months ago
v12
2024-05-16 8:39am
Generated on May 16, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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1208 Total Images
View All Images
Dataset Split
Train Set 83%
1004Images
Valid Set 13%
153Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%