Detection of comets Image Dataset
Versions
2024-06-18 7:02pm
v11
· 12 days ago
2024-06-15 11:26am
v10
· 15 days ago
2024-04-22 9:42pm
v9
· 2 months ago
2024-03-04 2:59pm
v8
· 4 months ago
2024-03-04 2:25pm
v7
· 4 months ago
2024-01-30 3:35pm
v6
· 5 months ago
2024-01-30 12:14am
v5
· 5 months ago
2024-01-29 11:24pm
v4
· 5 months ago
2024-01-29 4:19pm
v3
· 5 months ago
2024-01-22 2:10pm
v2
· 5 months ago
2024-01-21 6:57pm
v1
· 5 months ago
v1
2024-01-21 6:57pm
Generated on Jan 21, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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952 Total Images
View All Images
Dataset Split
Train Set 88%
834Images
Valid Set 8%
80Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 1.2px
Noise: Up to 0.89% of pixels
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