Dataset Versions
Versions
exp2
v18
· 14 hours ago
original 4class dataset
v16
· 17 hours ago
4aug identification
v15
· 3 days ago
3augmentation_identification
v14
· 5 days ago
add_complex_data_4class
v13
· 21 days ago
non_add_4class
v12
· 21 days ago
non-add-identification
v11
· 22 days ago
2024-10-30 12:17pm
v10
· 22 days ago
2024-10-30 12:14pm
v9
· 22 days ago
dataset_identification_brightness
v7
· a month ago
wtb_identification_saturation
v6
· 2 months ago
2024-10-04 1:16pm
v5
· 2 months ago
2024-10-04 1:14pm
v4
· 2 months ago
2024-10-04 12:58pm
v3
· 2 months ago
2024-09-26 8:46am
v2
· 2 months ago
2024-09-26 7:18am
v1
· 2 months ago
v11
non-add-identification
Generated on Oct 31, 2024
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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.
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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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2137 Total Images
View All Images
Dataset Split
Train Set 86%
1837Images
Valid Set 7%
150Images
Test Set 7%
150Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -15% and +15%