Dataset Versions
Versions
only_two_classes
v15
· 3 months ago
GroupD
v14
· 3 months ago
Group C
v13
· 3 months ago
Group B
v12
· 3 months ago
without any augumentation
v11
· 3 months ago
2024-08-08 12:29pm
v10
· 3 months ago
2024-07-08 7-28pm_final
v9
· 4 months ago
samyog_final_one
v8
· 4 months ago
2024-06-22 12:15pm
v7
· 5 months ago
2024-06-22 11:50am
v6
· 5 months ago
2024-06-22 11:44am
v5
· 5 months ago
2024-06-15 8:33am
v2
· 5 months ago
2024-06-12 4:17pm
v1
· 5 months ago
v14
GroupD
Generated on Aug 10, 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 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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3292 Total Images
View All Images
Dataset Split
Train Set 87%
2865Images
Valid Set 9%
284Images
Test Set 4%
143Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.5px