Bird Nest Image Dataset
Versions
Blur -3px- Brightness -30-
v19
Oct 10, 2023
Blur - 4px
v17
Sep 28, 2023
Brightness - 40
v16
Sep 27, 2023
Without Preprocessing More train
v15
Sep 22, 2023
Blur - 3.5 More train
v12
Sep 22, 2023
Brightness - 25
v11
Sep 10, 2023
Brightness - 35
v10
Sep 10, 2023
Blur - 2.5
v9
Sep 10, 2023
Blur - 3.5
v8
Sep 10, 2023
Brightness - 30
v7
Sep 3, 2023
Adaptive Equalization
v6
Sep 3, 2023
Blur -3
v5
Aug 13, 2023
20- Saturation
v4
Aug 13, 2023
Without Preprocessing
v3
Aug 10, 2023
Contrast
v2
Jul 21, 2023
v10
Brightness - 35
Generated on Sep 10, 2023
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
Choose another format.
1135 Total Images
View All Images
Dataset Split
Train Set 92%
1047Images
Valid Set 4%
44Images
Test Set 4%
44Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -35% and +35%
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