Dataset Versions
Versions
new_dataset_1
v14
· 2 years ago
2022-10-07 7:00pm
v13
· 2 years ago
2022-10-06 11:01pm
v12
· 2 years ago
new final
v11
· 2 years ago
2022-09-06 6:07pm
v10
· 2 years ago
3 classes
v9
· 2 years ago
ID3 and ID4
v8
· 2 years ago
only ID.3 with less Augm
v7
· 2 years ago
Only ID.3 with High Augm
v6
· 2 years ago
2022-08-29 2:14pm
v5
· 2 years ago
ID3 edited
v4
· 2 years ago
ID.3
v3
· 2 years ago
v4
ID3 edited
Generated on Aug 29, 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 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.
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.
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157 Total Images
View All Images
Dataset Split
Train Set 94%
147Images
Valid Set 5%
8Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%