acapitani/chesspiece-detection-yolo
Object Detection • Updated
Datasets:
Tasks:
Object Detection
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
1K - 10K
License:
txt stringlengths 480 2.66k ⌀ | __key__ stringlengths 15 42 | __url__ stringclasses 1
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6 0.3856431878306879 0.4256398809523809 0.035069444444444445 0.05751653439... | dataset/labels/train/G061_IMG026 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.6180539021164022 0.16726521164021163 0.04897817460317461 0.06757936507936509
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10 0.7112367724867724 0.31891699735449736 0.0694047619047619 0.09672288359788... | dataset/labels/train/G028_IMG009 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.16622354497354497 0.45711805555555557 0.046474867724867724 0.0701686507936508
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10 0.32820271164021164 0.35528439153439156 0.049527116402116406 0.097731481... | dataset/labels/train/G076_IMG008 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.7744889322916667 0.7155745442708334 0.05472005208333333 0.05527669270833333
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9 0.6067903645833334 0.7115397135416667 0.047929687500000005 0.05168619791666667
11 0.4479052734375 0.7019156901041668 0.05751627604166667 0.06528320312500001... | dataset/labels/train/G078_IMG011 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
0 0.254523369351211 0.7286245353159851 0.06503240274171908 0.16356877323420066
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0 0.4641968057770983 0.4739776951672861 0.04709242957158943 0.13382899628252792
0... | dataset/labels/train/d79c45bb-photo22 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.7605853174603174 0.715462962962963 0.053968253968253964 0.07199074074074073
11 0.313994708994709 0.6009656084656085 0.05302910052910054 0.10709656084656086
6 0.7623015873015873 0.6602199074074073 0.040740740740740744 0.057516534391534396
9 0.4765922619047619 0.5884044312169312 0.04405753968253968 0.0758035714285714... | dataset/labels/train/G061_IMG036 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.17146825396825396 0.5336755952380953 0.05023148148148148 0.08023478835978835
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11 0.2977728174603174 0.31105324074074076 0.05286706349206349 0.1207837301587... | dataset/labels/train/G056_IMG011 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
1 0.41803240740740744 0.5711392195767195 0.04555555555555555 0.06973875661375661
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7 0.5223627645502645 0.48492559523809525 0.04155092592592593 0.0639120370370370... | dataset/labels/train/G047_IMG074 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.5522428385416667 0.3426692708333334 0.028958333333333332 0.04886067708333333
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7 0.7065380859375 0.46140950520833335 0.034482421875 0.05552083333333333
11 0.744319661... | dataset/labels/train/G042_IMG014 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
0 0.2799669312169312 0.36696428571428574 0.04072089947089947 0.06461640211640211
5 0.4136755952380952 0.32437665343915345 0.052344576719576714 0.12423611111111112
11 0.7055456349206349 0.42857142857142855 0.056256613756613755 0.13417328042328042
6 0.7769758597883599 0.450816798941799 0.04113425925925926 0.0655687830687... | dataset/labels/train/G047_IMG104 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
0 0.3467235188509874 0.8263888888888888 0.049371633752244154 0.11805555555555543
2 0.182899461400359 0.8706597222222223 0.06059245960502688 0.15451388888888873
0 0.4224640933572709 0.7491319444444444 0.048249551166965915 0.11284722222222193
0 0.49427737881508077 0.6961805555555556 0.041517055655296314 0.111111111111111... | dataset/labels/train/819a2ae5-nuove_alto38 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.6171114417989418 0.29051256613756615 0.03514880952380953 0.05917989417989418
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6 0.5646792328042328 0.3037136243386243 0.031686507936507936 0.05332010582010... | dataset/labels/train/G061_IMG022 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
6 0.6979361979166666 0.5221207682291666 0.03842447916666667 0.06198893229166667
6 0.607783203125 0.4921565755208333 0.038665364583333334 0.061643880208333335
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1 0.4745703125 0.33950032552083337 0.03880859375 0.06437174479166667
7 0.455400390625 0.4... | dataset/labels/train/G078_IMG097 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
6 0.773681640625 0.6326708984375 0.04841145833333333 0.07429361979166667
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6 0.41345540364583333 0.44971354166666666 0.040419921875 0.0655859375
6 0.3444514973... | dataset/labels/train/G042_IMG066 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
6 0.4650793650793651 0.37138888888888894 0.029424603174603176 0.04906084656084657
11 0.4996908068783069 0.3300760582010582 0.038422619047619046 0.09490079365079365
6 0.4065327380952381 0.5181878306878307 0.033792989417989416 0.05503968253968254
4 0.44490244708994714 0.4765244708994709 0.04348214285714286 0.090992063492... | dataset/labels/train/G019_IMG090 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.23106608072916665 0.5884261067708333 0.049580078125 0.07868164062500001
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11 0.2776090494791667 0.3339518229166667 0.04612955729166667 0.10997395833333333
6 0.3... | dataset/labels/train/G042_IMG023 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.26458984375 0.42630696614583335 0.04275390625 0.06959309895833334
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10 0.31061360677083333 0.5309375 0.056181640625 0.11567708333333333
9 0.3266552734375 0.4559863281... | dataset/labels/train/G022_IMG040 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
11 0.20530919312169313 0.39701223544973546 0.05151785714285714 0.11645171957671957
7 0.4002248677248677 0.32110119047619046 0.03865079365079365 0.0623941798941799
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0 0.445666335978836 0.3541964285714285 0.03915674603174603 0.056673280423280424
6 0.2... | dataset/labels/train/G047_IMG052 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.5186539713541667 0.6614290364583333 0.04888997395833333 0.07946614583333333
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11 0.3024967447916667 0.4680192057291667 0.060598958333333335 0.115400390625
7 0.17880... | dataset/labels/train/G072_IMG016 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.555500992063492 0.3357804232804233 0.03767526455026455 0.061349206349206355
8 0.5866468253968254 0.3638508597883598 0.03898148148148148 0.06950066137566137
7 0.7310218253968253 0.5188343253968254 0.04361772486772487 0.07074404761904762
11 0.7752976190476191 0.5407242063492064 0.05659391534391534 0.11238756613756615... | dataset/labels/train/G019_IMG025 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.5928190104166666 0.27972005208333334 0.031119791666666664 0.05253255208333333
7 0.7226220703125 0.468515625 0.04027669270833333 0.05904296875
11 0.758857421875 0.5006282552083333 0.05665364583333333 0.09634114583333332
6 0.5412662760416667 0.29530924479166665 0.027903645833333334 0.04698567708333334
6 0.56401204427... | dataset/labels/train/G078_IMG023 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
0 0.2954489331455687 0.7936802973977699 0.054941167833521314 0.13754646840148713
0 0.3857094231577822 0.7258364312267658 0.053819919510388205 0.13568773234200734
0 0.5140923561565208 0.5511152416356878 0.043728684602190385 0.12081784386617113
0 0.5432448125579814 0.44423791821561365 0.04148618795592427 0.11895910780669... | dataset/labels/train/7ace6181-nuove_alto4 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
0 0.2578871143206103 0.7286245353159851 0.06951739603425151 0.16728624535315983
0 0.4187862486902084 0.5724907063197027 0.052698671187255144 0.14498141263940525
0 0.4625149332923986 0.4758364312267659 0.04148618795592425 0.13754646840148704
0 0.5079254903792889 0.395910780669145 0.044849932925323584 0.11524163568773232... | dataset/labels/train/61b62ea9-photo25 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
11 0.8326455026455026 0.38536706349206346 0.055158730158730164 0.12953703703703703
10 0.5315558862433862 0.3983465608465609 0.05015542328042328 0.10628968253968255
6 0.7535714285714284 0.43880621693121696 0.040423280423280424 0.06598544973544973
0 0.4290195105820106 0.4776934523809524 0.04334325396825397 0.069156746031... | dataset/labels/train/G019_IMG106 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
11 0.5191848544973544 0.2735962301587302 0.045446428571428575 0.09030092592592592
1 0.2445866402116402 0.4234953703703704 0.041805555555555554 0.05997354497354498
1 0.5074338624338625 0.3976653439153439 0.0389021164021164 0.0601521164021164
6 0.5704861111111111 0.38764880952380953 0.03283068783068783 0.0484920634920634... | dataset/labels/train/G038_IMG093 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
11 0.21140787760416668 0.4848291015625 0.056943359375 0.118369140625
6 0.6333935546874999 0.6385611979166667 0.04390299479166667 0.06729166666666667
6 0.31666178385416666 0.4930843098958333 0.038154296875 0.06135091145833333
6 0.26624023437500005 0.469501953125 0.037962239583333335 0.06077473958333333
9 0.5983089192708... | dataset/labels/train/G022_IMG076 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
7 0.7201025132275133 0.5422172619047619 0.04762566137566138 0.074130291005291
11 0.4137384259259259 0.48375330687830687 0.054110449735449734 0.11167328042328042
7 0.1941798941798942 0.47333498677248675 0.05064814814814815 0.07069775132275131
6 0.7215128968253969 0.4896494708994709 0.03949404761904762 0.0606878306878306... | dataset/labels/train/G041_IMG030 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
11 0.5811458333333334 0.33457837301587307 0.04853505291005291 0.10999007936507937
9 0.6318683862433863 0.3740393518518519 0.04486111111111111 0.07868055555555556
6 0.6850710978835978 0.410843253968254 0.037271825396825393 0.05913359788359788
6 0.7967162698412699 0.47329199735449734 0.03958994708994709 0.061121031746031... | dataset/labels/train/G058_IMG050 | hf://datasets/acapitani/chesspiece-detection-yolo@2021a799fb34bcad72dd4bbc47ae32476c3babc0/dataset.tar.gz |
End of preview. Expand in Data Studio
Chess Pieces Detection Dataset (YOLO format)
📦 Overview
This dataset is designed for object detection of chess pieces on a chessboard using YOLOv5/YOLOv10.
- Classes: 12 (6 white + 6 black pieces)
- Format: YOLO (txt annotations)
- Split: Train/Validation
- Image count: ~2208 images
🗂️ Structure
images/train/
images/val/
labels/train/
labels/val/
dataset.yaml
🏷️ Class Names
0 = white pawn
1 = white rook
2 = white knight
3 = white bishop
4 = white queen
5 = white king
6 = black pawn
7 = black rook
8 = black knight
9 = black bishop
10 = black queen
11 = black king
12 = empty square (not used)
🧠 Train with YOLOv10
# Train
yolo train model=yolov10n.pt data=dataset.yaml epochs=100 imgsz=640
# Predict
yolo predict model=<mybestmodel.pt> source=path/to/chessboard-sample.jpg
📄 License
MIT License
🙏 Acknowledgments
- Downloads last month
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Models trained or fine-tuned on acapitani/chesspiece-detection-yolo