Dataset Versions
Versions
14th-Iteration-640p
v13
· 2 months ago
13th-Iteration-640P
v11
· 2 months ago
12th-Iteration-1280
v10
· 2 months ago
12Th-Iteration-640
v9
· 2 months ago
Whole-Data-Reviewed-Version11-WebcamResolution
v8
· 3 months ago
Whole-Data-Reviewed-Version11
v7
· 3 months ago
10iter-A-1280
v6
· 4 months ago
640 Version
v5
· 4 months ago
2024-08-08 11:20am
v3
· 4 months ago
2024-08-08 8:01am
v2
· 4 months ago
2024-08-07 1:52pm
v1
· 4 months ago
v13
14th-Iteration-640p
Generated on Oct 4, 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.
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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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9575 Total Images
View All Images
Dataset Split
Train Set 89%
8535Images
Valid Set 7%
692Images
Test Set 4%
348Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter by Tag: 0 required, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Noise: Up to 0.18% of pixels