Dataset Versions
Versions
momo_img_rot_upsidown
v16
· 2 years ago
momo_img_rot_ccw
v15
· 2 years ago
momo_img_rot_cw
v14
· 2 years ago
momo_rota_upsi
v13
· 2 years ago
momo_rota_ccw
v12
· 2 years ago
momo_rota_clockwise
v11
· 2 years ago
momo_flip_vertical
v10
· 2 years ago
momo_flip_horizon
v9
· 2 years ago
2022-09-20 3:20pm
v7
· 2 years ago
rotate_30
v6
· 2 years ago
flip_revise
v5
· 2 years ago
rotate_revise
v4
· 2 years ago
0920rotate
v3
· 2 years ago
0920flip
v2
· 2 years ago
2022-09-20 2:46pm
v1
· 2 years ago
v16
momo_img_rot_upsidown
Generated on Nov 14, 2022
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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.
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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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376 Total Images
View All ImagesDataset Split
Train Set 80%
299Images
Valid Set 13%
49Images
Test Set 7%
28Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
90° Rotate: Upside Down