cad detector Dataset
Versions
2023-02-04 2:29am
v14
· 2 years ago
2023-01-29 2:17am
v13
· 2 years ago
2023-01-28 7:56pm
v12
· 2 years ago
2023-01-28 7:20am
v11
· 2 years ago
2023-01-27 11:09pm
v10
· 2 years ago
2023-01-27 1:39am
v9
· 2 years ago
2023-01-26 9:03pm
v8
· 2 years ago
2023-01-26 3:05pm
v7
· 2 years ago
2023-01-26 12:45am
v6
· 2 years ago
2023-01-26 12:44am
v5
· 2 years ago
2023-01-26 12:40am
v4
· 2 years ago
2023-01-26 12:40am
v3
· 2 years ago
2023-01-26 12:40am
v2
· 2 years ago
2023-01-26 12:39am
v1
· 2 years ago
v14
2023-02-04 2:29am
Generated on Feb 3, 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.
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319 Total Images
View All Images
Dataset Split
Train Set 94%
300Images
Valid Set 5%
17Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 8% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Shear: ±9° Horizontal, ±13° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Cutout: 4 boxes with 30% size each