CS471 T6 Image Dataset
Versions
200 epochs 172 images
v15
· 7 months ago
100 epochs 172 images
v14
· 7 months ago
50 epochs- 172 images
v13
· 7 months ago
2023-12-05 10:11pm
v12
· 7 months ago
2023-12-05 10:10pm
v11
· 7 months ago
2023-12-05 10:03pm
v10
· 7 months ago
2023-12-05 8:46pm
v7
· 7 months ago
2023-12-05 4:32pm
v6
· 7 months ago
2023-12-05 4:20pm
v5
· 7 months ago
v7
2023-12-05 8:46pm
Generated on Dec 6, 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
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52 Total Images
View All Images
Dataset Split
Train Set 87%
45Images
Valid Set 10%
5Images
Test Set 4%
2Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
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