Dataset Versions
Versions
AddedGreatTits
v32
· 3 years ago
AddedGreatTits
v31
· 3 years ago
-GreatTits
v30
· 3 years ago
YOLOv29
v29
· 3 years ago
YOLOv28
v28
· 3 years ago
Rebalance
v27
· 3 years ago
Shisha
v26
· 3 years ago
Klassen sortiert
v25
· 3 years ago
2022-03-02 12:09pm
v24
· 3 years ago
2022-03-02 12:01pm
v22
· 3 years ago
2022-03-02 12:00pm
v21
· 3 years ago
2022-02-28 1:38pm
v20
· 3 years ago
2022-02-28 1:35pm
v19
· 3 years ago
2022-01-29 12:04pm
v18
· 3 years ago
2022-01-29 11:55am
v17
· 3 years ago
2022-01-13 10:06am
v16
· 3 years ago
Feldsperling
v15
· 3 years ago
negatives
v14
· 3 years ago
DrNumpyArray
v13
· 3 years ago
noTest
v12
· 3 years ago
2021-12-28 12:11pm
v11
· 3 years ago
2021-12-28 11:58am
v10
· 3 years ago
BullfinchAdded
v9
· 3 years ago
SmallerThanV7
v8
· 3 years ago
SmallerBoundingBoxes
v7
· 3 years ago
NoSwallow
v6
· 3 years ago
NoBrightnessChange
v5
· 3 years ago
myData
v4
· 3 years ago
myData
v3
· 3 years ago
2021-12-02 1:21pm
v2
· 3 years ago
2021-12-01 1:35pm
v1
· 3 years ago
v26
Shisha
Generated on Mar 2, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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
Choose another format.
1686 Total Images
View All ImagesDataset Split
Train Set 87%
1467Images
Valid Set 11%
179Images
Test Set 2%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Brightness: Between -21% and +21%
Blur: Up to 0.5px