ML жкх version 1 Image Dataset
Versions
2024-06-17 12:06pm
v11
· 11 days ago
2024-06-13 9:21am
v10
· 15 days ago
2024-05-30 8:41pm
v9
· a month ago
2024-05-30 2:15pm
v8
· a month ago
2024-05-29 1:14pm
v7
· a month ago
2024-05-29 1:12pm
v6
· a month ago
2024-05-29 1:10pm
v5
· a month ago
2024-05-29 1:09pm
v4
· a month ago
2024-05-29 1:07pm
v3
· a month ago
2024-05-29 1:03pm
v2
· a month ago
2024-05-29 10:41am
v1
· a month ago
v11
2024-06-17 12:06pm
Generated on Jun 17, 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
Choose another format.
694 Total Images
View All Images
Dataset Split
Train Set 88%
612Images
Valid Set 8%
56Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Noise: Up to 1.84% of pixels
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