Yıkık Dataset
Versions
2024-07-23 8:03am
v9
· 2 months ago
2024-07-11 9:02am
v8
· 3 months ago
2024-07-09 9:24am
v7
· 3 months ago
2024-07-01 11:04am
v6
· 3 months ago
2024-06-28 2:46pm
v5
· 3 months ago
2024-06-28 8:48am
v4
· 3 months ago
2024-06-28 7:15am
v3
· 3 months ago
2024-06-28 6:31am
v2
· 3 months ago
2024-06-27 2:18pm
v1
· 3 months ago
v8
2024-07-11 9:02am
Generated on Jul 11, 2024
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.
533 Total Images
View All Images
Dataset Split
Train Set 78%
414Images
Valid Set 11%
61Images
Test Set 11%
58Images
Preprocessing
Resize: Stretch to 1920x1080
Augmentations
Outputs per training example: 3
Grayscale: Apply to 34% of images
Noise: Up to 4.73% of pixels
Bounding Box: Blur: Up to 4.8px
Bounding Box: Noise: Up to 3.31% of pixels