Dataset Versions
Versions
crop and rotate from scratch
v11
· 2 years ago
2023-04-27 1:00pm
v10
· 2 years ago
Rotation between -15 and 15 degrees and crop
v8
· 2 years ago
Crop and Rotate but with edits to train-test-valid
v7
· 2 years ago
Crop and Rotate
v6
· 2 years ago
Just 80 of each class
v5
· 2 years ago
With Rotation Augmentation
v4
· 2 years ago
2023-04-09 10:05pm
v3
· 2 years ago
2023-03-19 5:34pm
v1
· 2 years ago
v8
Rotation between -15 and 15 degrees and crop
Generated on Apr 27, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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452 Total Images
View All Images
Dataset Split
Train Set 86%
387Images
Valid Set 10%
45Images
Test Set 4%
20Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°