Dataset Versions
Versions
2024-06-18 1:51am
v12
· 5 months ago
final_no_sticky_traps_augmented
v11
· 5 months ago
2024-06-17 9:20pm
v10
· 5 months ago
final_all_annotatedv2
v9
· 5 months ago
final_all_annotated
v8
· 5 months ago
2024-06-17 7:42pm
v7
· 5 months ago
2024-06-17 7:30pm
v6
· 5 months ago
2024-06-17 7:26pm
v5
· 5 months ago
2024-06-17 7:23pm
v4
· 5 months ago
2024-06-17 7:20pm
v3
· 5 months ago
2024-06-17 7:17pm
v2
· 5 months ago
2024-06-17 7:05pm
v1
· 5 months ago
v8
final_all_annotated
Generated on Jun 17, 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.
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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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1337 Total Images
View All Images
Dataset Split
Train Set 91%
1212Images
Valid Set 5%
72Images
Test Set 4%
53Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Noise: Up to 1.6% of pixels