Building Image Dataset
Versions
2022-09-22 2:35pm
v18
· 2 years ago
2022-07-25 7:24pm
v17
· 2 years ago
2022-07-25 6:39pm
v16
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VGG-2.1
v15
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VGG-2
v14
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Saikumar_Resnet
v13
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Rooftop_AW_07_11
v12
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Rooftop_coco_512
v11
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Ritanjali_generated_Vgg_224-224_27thJune
v10
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Ritu_June24
v9
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Ayush_LargeDataset_June24
v8
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Ritu_Dataset_June24
v7
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Ritanjali_LargeDataset_June24
v6
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Saikumar_LargeDataset_Jun24
v5
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Ritanjali_Generated_Training_Set
v4
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Ayush_Generated_Training_Set
v3
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Ritu_Generated_Training_Set
v2
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Sai_Generated_Traing_Set
v1
· 2 years ago
v8
Ayush_LargeDataset_June24
Generated on Jun 25, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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700 Total Images
View All ImagesDataset Split
Train Set 97%
680Images
Valid Set %
0Images
Test Set 3%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%