Dataset Versions
Versions
v8
v29
· 3 years ago
v7
v26
· 3 years ago
v6_mosaic
v25
· 3 years ago
v6_bbox_rotation_n_90rotate_flip
v24
· 3 years ago
v6_bbox_shear_n_90rotate
v23
· 3 years ago
v6_flip
v21
· 3 years ago
v6_90_rotate
v20
· 3 years ago
v5_mosaic2
v19
· 3 years ago
v5_bbox_shear
v16
· 3 years ago
v5_bbox_rotation
v15
· 3 years ago
v5_flip
v13
· 3 years ago
v5_shear
v12
· 3 years ago
v5_90_rotation
v11
· 3 years ago
v5_mosaic
v10
· 3 years ago
v4_augmentations
v8
· 3 years ago
v3_resized
v7
· 3 years ago
v2_train_test_val
v6
· 3 years ago
v1
v1
· 3 years ago
v8
v4_augmentations
Generated on Sep 16, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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342 Total Images
View All Images
Dataset Split
Train Set 88%
300Images
Valid Set 8%
29Images
Test Set 4%
13Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise